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Wyniki wyszukiwania dla: weakly supervised learning

Wyniki wyszukiwania dla: weakly supervised learning

  • Tacit knowledge influence on intellectual capital and innovativeness in the healthcare sector: A cross-country study of Poland and the US

    Publikacja

    This study provides empirical proof that whole organizational innovativeness is rooted in tacit knowledge due to its potency of human capital creation and, that a learning culture composed of a learning climate and mistakes acceptance component fosters human capital development. The main practical implication is that if the IC components are externally rather than internally determined in the particular organization embedded in...

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  • Structural Design and Mechanics I 2023/2024

    Kursy Online
    • T. Zybała

    Learning about the functioning of bar systems and preparing their static schemes, solving statically determinate bar systems (beams, frames, trusses).

  • Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

    The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams...

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  • Cognitive engineering and functional safety technology for reducing risks in hazardous plants

    Cognitive engineering is considered nowadays as interesting multidisciplinary domain that focuses on improving the relations between humans and the systems that are supervised and operated. The industrial automation and control systems (IACS) in hazardous plants are increasingly computerized and perform various safety functions. These are designed and implemented according to the functional safety concept. The objective is to maintain...

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  • How to deal with knowledge in small companies? Defining emergent KM approach

    Publikacja

    This paper examines the concept of emergent KM approach in small companies. The origins of consideration are grounded in the theory of strategic management literature and in particular in the distinction between deliberate versus emergent approach towards strategic planning. Using the methodology of case study, we carried out an explorative research to analyse the characteristics of KM approach in two small companies located in...

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  • The Challenge of Quantification: An Interdisciplinary Reading

    Publikacja

    - Minerva - A Review of Science, Learning and Policy - Rok 2023

    The present work looks at what we call “the multiverse of quantification”, where visible and invisible numbers permeate all aspects and venues of life. We review the contributions of different authors who focus on the roles of quantification in society, with the aim of capturing different and sometimes separate voices. Several scholars, including economists, jurists, philosophers, sociologists, communication and data scientists,...

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  • Udane wdrożenie blended learning'u - problem techniczny czy kulturowy?

    Publikacja

    Uczelnie wyższe coraz chętniej angażują się w konstruowanie wortali internetowych, które nie tylko mają stanowić uzupełnienie wiedzy studentów (i pracowników) z danej dziedziny wiedzy, ale i są wizytówką uczelni, która świadczy o poziomie kształcenia. Światowe doświadczenia związane z e−learning’iem nie zachęcają do zbytniego angażowania się w tę formę edukacji. Natomiast blended learning wydaje się idealnym rozwiązaniem. Zazwyczaj...

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  • A MODEL FOR FORECASTING PM10 LEVELS WITH THE USE OF ARTIFICIAL NEURAL NETWORKS

    Publikacja

    - Rok 2014

    This work presents a method of forecasting the level of PM10 with the use of artificial neural networks. Current level of particulate matter and meteorological data was taken into account in the construction of the model (checked the correlation of each variable and the future level of PM10), and unidirectional networks were used to implement it due to their ease of learning. Then, the configuration of the network (built on the...

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  • Tacit knowledge awareness and sharing as a focal part of knowledge production, Polish-US view on IT, healthcare, and construction industry

    Publikacja

    - Rok 2021

    In the knowledge economy era, knowledge production and dissemination are of key interest to individuals, organizations, and economies. Tacit knowledge results from experience, leading to innovation. The learning culture can facilitate the transformation of errors into experiences. This study explores whether mistake acceptance facilitates tacit knowledge awareness and sharing in the information technology, healthcare, and construction...

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  • Buckling of frame braced by linear elastic springs

    In the design codes and specifications, simplifed formulae or diagrams are given for determining the buckling lengths of frame columns based on the ruling criterion of considering frames as sway or non sway. Due to the fact that, the code formulae utilize onlylocal stifness distributions, these formulae may yield in certain cases rather erroneous results. In most code formulas a case of weakly braced frames is usually not considered.In...

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  • The σ-phase superconductors Nb20.4Rh5.7Ge3.9 and Nb20.4Rh5.7Si3.9

    Publikacja

    - SOLID STATE COMMUNICATIONS - Rok 2018

    We show that the previously unreported ternary σ phases Nb20.4Rh5.7Ge3.9 and Nb20.4Rh5.7Si3.9 are both superconductors with Tc values of approximately 1.9 K. The superconducting transitions were characterized through temperature-dependent magnetic susceptibility, electrical resistance, and specific heat measurements. The Sommerfeld constants, γ, for Nb20.4Rh5.7Ge3.9 and Nb20.4Rh5.7Si3.9 are 89(1) mJ mol-f.u.−1K−2 and 86(1) mJ mol-f.u.−1K−2...

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  • Olgun Aydin Dr

    Osoby

    Olgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Senior Data Scientist in PwC Poland, gives lectures in Gdansk University of Technology in Poland and member of WhyR? Foundation. Olgun is a very big fan of R and author of the book called “R Web Scraping Quick Start Guide” , two video courses are called “Deep Dive into Statistical Modelling using R” and “Applied Machine Learning and Deep...

  • Instructor Presence in Video Lectures: Preliminary Findings From an Online Experiment

    Publikacja

    - IEEE Access - Rok 2021

    Motivation. Despite the widespread use of video lectures in online and blended learning environments, there is still debate whether the presence of an instructor in the video helps or hinders learning. According to social agency theory, seeing the instructor makes learners believe that s/he is personally teaching them, which leads to deeper cognitive processing and, in turn, better learning outcomes. Conversely, according to cognitive...

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  • Piotr Grudowski dr hab. inż.

    Dr hab. inż. Piotr Grudowski, profesor w Politechnice Gdańskiej karierę naukową rozpoczynał na Wydziale Mechanicznym Technologicznym Politechniki Gdańskiej w zespole „Inżynierii Jakości i Metrologii”. Stopień doktora nauk technicznych w dyscyplinie budowa i eksploatacja maszyn uzyskał w roku 1993 na Wydziale Mechanicznym PG a stopień doktora habilitowanego nauk ekonomicznych, w dyscyplinie nauk o zarządzaniu, w 2008 roku na Wydziale...

  • Techniczne aspekty implementacji nowoczesnej platformy e-learningowej

    Zaprezentowano aspekty techniczne implementacji nowoczesnej platformy nauczania zdalnego. Omówiono obszary funkcjonalne takie jak: system zarządzania nauczaniem, serwis informacyjny, dodatkowe oprogramowanie dydaktyczne oraz kolekcja zasobów multimedialnych. Przybliżono zagadnienia związane z bezpieczeństwem takiej platformy. Na końcu przedstawiono parametry techniczne wdrożonej na Politechnice Gdańskiej platformy eNauczanie.

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  • Inteligentne systemy agentowe w systemach zdalnego nauczania

    W pracy omówiono inteligentne systemy agentowe w systemach zdalnego nauczania. Po krótkim przedstawieniu ewolucji systemów zdalnego nauczania i ich wybranych zastosowań, scharakteryzowano inteligentne agenty edukacyjne. Omówiono wykorzystanie programowania genetycznego oraz algorytmów neuro-ewolucyjnych do implementacji oprogramowania tej klasy. Ponadto, nawiązano do modelu Map-Reduce, który efektywnie wspiera architekturę nowoczesnego...

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  • Active Control of Highly Autocorrelated Machinery Noise in Multivariate Nonminimum Phase Systems

    In this paper, a novel multivariate active noise control scheme, designed to attenuate disturbances with high autocorrelation characteristics and preserve background signals, is proposed. The algorithm belongs to the class of feedback controllers and, unlike the popular feedforward FX-LMS approach, does not require availability of a reference signal. The proposed approach draws its inspiration from the iterative learning control...

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  • Adaptive Method of Adjusting Flowgraph for Route Reconstruction in Video Surveillance Systems

    Pawlak’s flowgraph has been applied as a suitable data structure for description and anal- ysis of human behaviour in the area supervised with multicamera video surveillance system. Infor- mation contained in the flowgraph can be easily used to predict consecutive movements of a partic- ular object. Moreover, utilization of the flowgraph can support reconstructing object route from the past video images. However, such a flowgraph with...

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  • Leszek Ziemczonek dr

    Osoby

    University education 1973-1978 – Nicolaus Copernicus University in Toruń, University of Gdańsk in Gdańsk, Mathematical Physics, M. Sc. 1979 – Diploma of Postgraduate Studies, Pedagogics 1989 – Institute of Physics, Polish Academy of Sciences in Warsaw, Theoretical Physics, Ph. D. 2010-2012 – Diploma of Postgraduate Studies, Mathematics Training: ·         09.1983 – Trieste (Italy) – International Centre for Theoretical Physics...

  • Mikroekonomia_2 lato 2023/24

    Kursy Online
    • A. B. Mikulska

    Kontynuacja zajęć z mikroekonomii z sem. 1. Prowadząca dr Aniela Mikulska. Uczymy się wg metody flip blended learning.

  • Experience-Oriented Knowledge Management for Internet of Things

    Publikacja

    - Rok 2016

    In this paper, we propose a novel approach for knowledge management in Internet of Things. By utilizing Decisional DNA and deep learning technologies, our approach enables Internet of Things of experiential knowledge discovery, representation, reuse, and sharing among each other. Rather than using traditional machine learning and knowledge discovery methods, this approach focuses on capturing domain’s decisional events via Decisional...

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  • Review of the Complexity of Managing Big Data of the Internet of Things

    Publikacja

    - COMPLEXITY - Rok 2019

    Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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  • Features of Nonlinear Sound Propagation in Vibrationally Excited Gases

    Publikacja

    - Archives of Acoustics - Rok 2013

    Weakly nonlinear sound propagation in a gas where molecular vibrational relaxation takes place is studied. New equations which govern the sound in media where the irreversible relaxation may take place are derived and discussed. Their form depends on the regime of excitation of oscillatory degrees of freedom, equilibrium (reversible) or non-equilibrium (irreversible), and on the comparative frequency of the sound in relation to...

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  • Characterization of CaTi0.9Fe0.1O3/La0.98Mg0.02NbO4 composite

    A composite of CaTi0.9Fe0.1O3 and electrolyte material, i.e. magnesium doped La0.98Mg0.02NbO4 was prepared and studied. The phase content and the sample microstructure was examined by an X-ray diffraction method and scanning electron microscopy. EDS measurements were done both for composite samples and the diffusion couple. The electrical properties were studied by four terminal DC method. The Ahigh-temperature interaction between...

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  • Detailed studies of superconducting properties of Y2Pd1.25Ge2.75

    We report a successful synthesis of a high-purity intermetallic germanide Y2Pd1.25Ge2.75, crystallizing in the disordered variant of the AlB2-type structure. A single-phase sample was obtained via arc-melting by deliberately tuning the composition out of the ideal 2:1:3 ratio. Specific heat, electrical resistivity and magnetization measurements show that the compound is a weakly-coupled (λ e-p = 0.58) type-II superconductor with...

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  • Nonlinear phenomena of small-scale sound in a gas with exponential stratification

    Publikacja

    The nonlinear dynamics of perturbations, quickly varying in space, with comparatively large characteristic wavenumbers k: k>1/H, is considered. H is the scale of density and pressure reduction in unperturbed gas, as the coordinate (H is the so-called height of the uniform equilibrium gas). Coupling nonlinear equations which govern the sound and the entropy mode in a weakly nonlinear flow are derived. They describe the dynamics...

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  • Information Systems Security 2023

    Kursy Online
    • B. Czaplewski
    • M. Dzwonkowski
    • J. A. Litka

    The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

  • Information Systems Security 2023/2024

    Kursy Online
    • B. Czaplewski

    The e-learning course for the Information Systems Security, in the field of Electronics and Telecommunications in the II degree studies (2nd year of studies, 3rd semester).

  • Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization

    Publikacja

    - Procedia Computer Science - Rok 2020

    Current computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...

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  • Is data management a new “digitisation”? A change of the role of librarians in the context of changing academic libraries’ tasks

    Publikacja

    - Rok 2018

    Academic libraries’ tasks have been evolving over the years. The changes have been stimulated by appearing of electronic resources, automated library systems, digital libraries and Open Access (OA) repositories. Librarians’ tasks and responsibilities in the academic environment have been evolving in accordance with new tasks they were expected to assume. A few years ago there was a discussion during which an attempt was made to...

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  • Chosen Methods Supporting Didacts of Descriptive Geometry

    The article presents reflections on the practical ways of supporting the teaching processes of descriptive geometry in the context of psychological theories of learning and motivation.

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  • THE ROLE OF INFERENCE IN MOBILE MEDICAL APPLICATION DESIGN

    Publikacja

    - Rok 2021

    In the early 21st century, artificial intelligence began to be used to process medical information. However, before this happened, predictive models used in healthcare could only consider a limited number of variables, and only in properly structured and organised medical data. Today, advanced tools based on machine learning techniques - which, using artificial neural networks, can explore extremely complex relationships - and...

  • Instantaneous Heating and Cooling Caused by Periodic or Aperiodic Sound of Any Characteristic Duration in a Gas with Vibrational Relaxation

    Thermodynamic relaxation of internal degrees of a molecule's freedom in a gas occurs with some characteristic time. This makes wave processes in a gas behave differently depending on the ratio of characteristic duration of perturbations and the relaxation time. In particular, generation of the secondary non-wave modes by intense sound in a nonlinear flow dependens on frequency. These kinds of interaction are considered in this...

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  • CeIr3: superconductivity in a phase based on tetragonally close packed clusters

    Publikacja

    - SUPERCONDUCTOR SCIENCE & TECHNOLOGY - Rok 2019

    We present the crystallographic analysis, superconducting and spectroscopic characterization, and theoretical modeling of CeIr3. Lattice parameters a = 5.2945(1) Å and c = 26.219(1) Å are found for the R-3m symmetry crystal structure, which are close to the literature values. CeIr3 is a moderate type-II superconductor (κ GL = 17, λ e–p = 0.65) below 2.5 K. Ce ions exhibit a strongly intermediate valence character as evidenced by...

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  • Superconductivity in the superhard boride WB4.2

    Publikacja

    - SUPERCONDUCTOR SCIENCE & TECHNOLOGY - Rok 2018

    We show that the superhard boride WB4.2 is a superconductor with a Tc of 2.05(5) K. Temperature-dependent magnetic susceptibility, electrical resistivity, and specific heat measurements were used to characterize the superconducting transition. The Sommerfeld constant γ for WB4.2 is 2.07(3) mJ mol−1 K−2 and the ΔC/γTc=1.56, which is somewhat higher than what is expected for weakly coupled Bardeen–Cooper–Schrieffer type superconductors....

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  • Tacit knowledge acquisition & sharing, and its influence on innovations: A Polish/US cross-country study

    Publikacja

    This study measures the relationship between tacit knowledge sharing and innovation in the Polish (n=350) and US (n=379) IT industries. Conceptually, the study identifies the potential sources of tacit knowledge development by individuals. That is, the study examines how “learning by doing” and “learning by interaction” lead to a willingness to share knowledge and, as a consequence, to support process and product/service innovation....

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  • Farzin Kazemi Ph.D. Student at Gdansk University of Technology

    Osoby

    His main research areas are seismic performance assessment of structures and seismic hazard analysis in earthquake engineering. He performed a comprehensive study on the effect of pounding phenomenon and ‎proposed modification factors to modify the seismic collapse capacity of ‎structures or predict the seismic collapse capacity of structures which were ‎retrofitted with linear and nonlinear Fluid Viscous Dampers (FVDs).‎ His current...

  • Flood Classification in a Natural Wetland for Early Spring Conditions Using Various Polarimetric SAR Methods

    Abstract--- One of the major limitations of remote sensing flood detection is the presence of vegetation. Our study focuses on a flood classification using Radarsat-2 Quad-Pol data in a natural floodplain during leafless, dry vegetation (early spring) state. We conducted a supervised classification of a data set composed of nine polarimetric decompositions and Shannon entropy followed by the predictors' importance estimation to...

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  • Automatic Clustering of EEG-Based Data Associated with Brain Activity

    The aim of this paper is to present a system for automatic assigning electroencephalographic (EEG) signals to appropriate classes associated with brain activity. The EEG signals are acquired from a headset consisting of 14 electrodes placed on skull. Data gathered are first processed by the Independent Component Analysis algorithm to obtain estimates of signals generated by primary sources reflecting the activity of the brain....

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  • Quadrotor Flight Controller Design Using Classical Tools

    A principal aspect of quadrocopter in-flight operation is to maintain the required attitude of the craft’s frame, which is done either automatically in the so-called supervised flight mode or manually during man-operated flight mode. This paper deals with the problem of flight controller (logical) structure and algorithm design dedicated for the man-operated flight mode. The role of the controller is to stabilise the rotational...

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  • DEEP CONVOLUTIONAL NEURAL NETWORKS AS A DECISION SUPPORT TOOL IN MEDICAL PROBLEMS – MALIGNANT MELANOMA CASE STUDY

    The paper presents utilization of one of the latest tool from the group of Machine learning techniques, namely Deep Convolutional Neural Networks (CNN), in process of decision making in selected medical problems. After the survey of the most successful applications of CNN in solving medical problems, the paper focuses on the very difficult problem of automatic analyses of the skin lesions. The authors propose the CNN structure...

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  • Improving css-KNN Classification Performance by Shifts in Training Data

    Publikacja

    - Rok 2015

    This paper presents a new approach to improve the performance of a css-k-NN classifier for categorization of text documents. The css-k-NN classifier (i.e., a threshold-based variation of a standard k-NN classifier we proposed in [1]) is a lazy-learning instance-based classifier. It does not have parameters associated with features and/or classes of objects, that would be optimized during off-line learning. In this paper we propose...

  • Food Classification from Images Using a Neural Network Based Approach with NVIDIA Volta and Pascal GPUs

    Publikacja

    In the paper we investigate the problem of food classification from images, for the Food-101 dataset extended with 31 additional food classes from Polish cuisine. We adopted transfer learning and firstly measured training times for models such as MobileNet, MobileNetV2, ResNet50, ResNet50V2, ResNet101, ResNet101V2, InceptionV3, InceptionResNetV2, Xception, NasNetMobile and DenseNet, for systems with NVIDIA Tesla V100 (Volta) and...

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  • MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences

    Publikacja
    • S. R. Gupte
    • D. S. Jain
    • A. Srinivasan
    • R. Aduri

    - Rok 2020

    —Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...

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  • Moduł Warsztaty - narzędzie w procesie edukacji na uczelni wyższej

    Publikacja

    Obecnie istnieje bardzo szeroka gama narzędzi informatycznych, które wspierają proces edukacji przy wykorzystaniu internetu na uczelniach wyższych. Wśród nieodpłatnych narzędzi powszechnie znana jest platforma Moodle. W artykule zaprezentowano jeden z jej modułów – Warsztaty. Przedstawiono jego funkcjonalność. Opisano jego zalety i wady w nauczaniu łączącym techniki online i tradycyjne na uczelni wyższej (blended-learning). W artykule...

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  • Podejście nauczycieli akademickich do rozwoju narzędzi e-learningowych na wyższych uczelniach technicznych

    Platforma edukacyjna na uczelni wyższej stała się już standardem. Jest wyznacznikiem nowoczesno- ści danej uczelni. Wpływa na jej konkurencyjność. Mimo to, istnieje przekonanie że środowisko nauczycieli akademickich nie jest gotowe do akceptacji nowych środków nauczania. Postanowiono zbadać ten problem. Artykuł zawiera odpowiedź na pytanie jaki stosunek do metod e-nauczania panuje wśród nauczycieli akademickich, nie posiadających...

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  • TF-IDF weighted bag-of-words preprocessed text documents from Simple English Wikipedia

    Dane Badawcze

    The SimpleWiki2K-scores dataset contains TF-IDF weighted bag-of-words preprocessed text documents (raw strings are not available) [feature matrix] and their multi-label assignments [label-matrix]. Label scores for each document are also provided for an enhanced multi-label KNN [1] and LEML [2] classifiers. The aim of the dataset is to establish a benchmark...

  • Bewertung der qualität von online lernmodulen = Próba oceny jakości e-Lerningowych modułów online

    Publikacja

    - Rok 2006

    W pracy dokonano klasyfikacji rozwiązań modułów (systemów) e-Learning wg. sposobu ich tworzenia (tj. systemy autorskie, komercyjne, otwarte, zamknięte, standardowe, niestandardowe), funkcjonalności, interaktywności, obciążania sieci. Przedstawiono również wybrane kryteria (tj. merytoryczne, dydaktyczne i multimedialne) oceny jakości modułów dostępnych online pod kątem ich wykorzystywania w systemach zdalnego nauczania. Na zakończenie...

  • When Neural Networks Meet Decisional DNA: A Promising New Perspective for Knowledge Representation and Sharing

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2016

    ABSTRACT In this article, we introduce a novel concept combining neural network technology and Decisional DNA for knowledge representation and sharing. Instead of using traditional machine learning and knowledge discovery methods, this approach explores the way of knowledge extraction through deep learning processes based on a domain’s past decisional events captured by Decisional DNA. We compare our approach with kNN (k-nearest...

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  • Kształcenie ustawiczne – trendy w krajach regionu Morza Bałtyckiego

    Kwestie kształcenia ustawicznego i dostosowania kwalifikacji do potrzeb rynku pracy są przedmiotem dyskusji zarówno na szczeblu europejskim, jak i poszczególnych krajów. Działania administracji powinny zmierzać w kierunku określenia zapotrzebowania na określone umiejętności oraz aktywizacji społeczeństwa poprzez realizację idei uczenia się przez całe życie. Doświadczenia krajów skandynawskich dostarczają wielu przykładów dobrych...

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