Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS - MOST Wiedzy

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Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS

Wyniki wyszukiwania dla: NEURAL TEXT-TO-SPEECH MULTILINGUAL SYNTHESIS VOICE CONVERSION SYNTHETIC DATA NORMALISING FLOWS

  • Implementation Of The Innovative Radiolocalization System VCS-MLAT (Voice Communication System Multilateration)

    In the article the concept of the radiolocalization subsystem of the VHF communication for aviation VCS-MLAT (Voice Communication System – Multilateration) is presented. The distributed localization system can estimate the position of the aircraft using the audio signals from aircraft transmitters in the VHF band (118-136 MHz). This paper shows initial verification of the possibility to use voice airband communication to estimate...

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  • Tensor Decomposition for Imagined Speech Discrimination in EEG

    Publikacja

    - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2018

    Most of the researches in Electroencephalogram(EEG)-based Brain-Computer Interfaces (BCI) are focused on the use of motor imagery. As an attempt to improve the control of these interfaces, the use of language instead of movement has been recently explored, in the form of imagined speech. This work aims for the discrimination of imagined words in electroencephalogram signals. For this purpose, the analysis of multiple variables...

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  • Nina Rizun dr

    Nina Rizun jest adiunktem na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W  październiku 1999 r. uzyskała stopień doktora nauk technicznych za specjalizacją Gospodarka przedsiębiorstwa i organizacja produkcji. W latach 1993–2000 pracowała na Wydziale Informatyki Ekonomicznej w Akademji Metalurgicznej, Dnipro, Ukraina. W latach 2000–2016 – na Wydziale Cybernetyki Ekonomicznej i Metod Matematycznych na Uniwersytecie Alfreda...

  • Automatic singing quality recognition employing artificial neural networks

    Publikacja

    Celem artykułu jest udowodnienie możliwości automatycznej oceny jakości technicznej głosów śpiewaczych. Pokrótce zaprezentowano w nim stworzoną bazę danych głosów śpiewaczych oraz zaimplementowane parametry. Przy pomocy sztucznych sieci neuronowych zaprojektowano system decyzyjny, który oceniono w pięciostopniowej skali jakość techniczną głosu. Przy pomocy metod statystycznych udowodniono, że wyniki generowane przez ten system...

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  • Natural and synthetic acridines/acridones as antitumor agents: their biological activities and methods of synthesis.

    Praca stanowi przegląd opisanych w literaturze chemicznej modyfikacji struktur naturalnych i syntetycznych pochodnych akrydyny i akrydonu. Artykuł obejmuje swym zakresem metody syntezy, a także wpływ budowy cząsteczek tych związków na ich aktywność przeciwnowotworową oraz mechanizm działania.

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  • Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks

    Publikacja

    - Rok 2019

    One of the ways to improve the fuel economy of heavy duty trucks is to operate the combustion engine in its most efficient operating points. To do that, a mathematical model of the engine is required, which shows the relations between engine speed, torque and fuel consumption in transient states. In this paper, easy accessible exploitation data collected via CAN bus of the heavy duty truck were used to obtain a model of a diesel...

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  • Methodology and technology for the polymodal allophonic speech transcription

    A method for automatic audiovisual transcription of speech employing: acoustic and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e. the changes in the articulatory setting of speech organs for...

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  • Methodology and technology for the polymodal allophonic speech transcription

    A method for automatic audiovisual transcription of speech employing: acoustic, electromagnetical articulography and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e., the changes in the articulatory...

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  • Variable Ratio Sample Rate Conversion Based on Fractional Delay Filter

    Publikacja

    - Archives of Acoustics - Rok 2014

    In this paper a sample rate conversion algorithm which allows for continuously changing resampling ratio has been presented. The proposed implementation is based on a variable fractional delay filter which is implemented by means of a Farrow structure. Coefficients of this structure are computed on the basis of fractional delay filters which are designed using the offset window method. The proposed approach allows us to freely...

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  • Semantic Analysis and Text Summarization in Socio-Technical Systems

    Publikacja

    - Rok 2018

    In this chapter the authors present the results of the development the methodology for increasing the reliability of the functioning of the Socio-Technical System. The existed methods and algorithms for processing unstructured (textual) information were studied. Taking into account noted above strengths and weaknesses of Discriminant and Probabilistic approaches of Latent Semantic Relations analysis in of the summarization projection...

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  • Thermal Biomass Conversion: A Review

    Publikacja

    - Processes - Rok 2020

    In this paper, the most important methods of thermal conversion of biomass, such as: hydrothermal carbonization (180–250 °C), torrefaction (200–300 °C), slow pyrolysis (carbonization) (300–450 °C), fast pyrolysis (500–800 °C), gasification (800–1000 °C), supercritical steam gasification, high temperature steam gasification (>1000 °C) and combustion, were gathered, compared and ranked according to increasing temperature. A comprehensive...

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  • Acoustic Hysteresis in Flows with Different Kinds of Relaxation and Attenuation

    Publikacja

    Graphs in the thermodynamic plane acoustic pressure versus excess acoustic density representing acoustic hysteresis, are considered as indicators of relaxation processes, equilibrium parameters of a flow, and kinds of wave exciters. Some flows with deviation from adiabaticity are examined: the Newtonian flow of a thermocon- ducting gas, the flow of a gas with vibrational relaxation, the flow of liquid electrolyte with a chemical...

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  • The Method of a Two-Level Text-Meaning Similarity Approximation of the Customers’ Opinions

    The method of two-level text-meaning similarity approximation, consisting in the implementation of the classification of the stages of text opinions of customers and identifying their rank quality level was developed. Proposed and proved the significance of major hypotheses, put as the basis of the developed methodology, notably about the significance of suggestions about the existence of analogies between mathematical bases of...

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  • 4-(Cyclic-amidino)phenols. Preparation and Use in a Diamidine Synthesis

    Publikacja

    The Pinner synthesis was applied to the prepn. of phenols 4-substituted with cyclic amidines in high yields from readily available 4-HOC6H4C(OMe):NH.HCl and aliph. diamines. An alternative attempt was made to convert 4-HOC6H4CSNH2 to 4-(1,4,5,6-tetrahydro-5-hydroxy-2-pyrimidinyl)phenol. A procedure for the prepn. of 3,6-bis(4-hydroxyphenyl)-1,2,4,5-tetrazine is reported. The syntheses of 2,4-bis[4-(4,5-dihydro-1H-imidazol-2-yl)phenoxy]pyrimidine...

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  • Neural Approximators for Variable-Order Fractional Calculus Operators (VO-FC)

    Publikacja

    - IEEE Access - Rok 2022

    The paper presents research on the approximation of variable-order fractional operators by recurrent neural networks. The research focuses on two basic variable-order fractional operators, i.e., integrator and differentiator. The study includes variations of the order of each fractional operator. The recurrent neural network architecture based on GRU (Gated Recurrent Unit) cells functioned as a neural approximation for selected...

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  • Real-time speech-rate modification experiments

    Publikacja

    An algorithm designed for real-time speech time scale modification (stretching) is proposed, providing a combination of typical synchronous overlap and add based time scale modification algorithm and signal redundancy detection algorithms that allow to remove parts of the speech signal and replace them with the stretched speech signal fragments. Effectiveness of signal processing algorithms are examined experimentally together...

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  • What matters most to patients? On the Core Determinants of Patient Experience from Free Text Feedback

    Publikacja

    - Rok 2021

    Free-text feedback from patients is increasingly used for improving the quality of healthcare services and systems. A major reason for the growing interest in harnessing free-text feedback is the belief that it provides richer information about what patients want and care about. The use of computational approaches such as structural topic modelling for analysing large unstructured textual data such as free-text feedback from patients...

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  • Improving Objective Speech Quality Indicators in Noise Conditions

    Publikacja

    - Rok 2020

    This work aims at modifying speech signal samples and test them with objective speech quality indicators after mixing the original signals with noise or with an interfering signal. Modifications that are applied to the signal are related to the Lombard speech characteristics, i.e., pitch shifting, utterance duration changes, vocal tract scaling, manipulation of formants. A set of words and sentences in Polish, recorded in silence,...

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  • Selection of Relevant Features for Text Classification with K-NN

    In this paper, we describe five features selection techniques used for a text classification. An information gain, independent significance feature test, chi-squared test, odds ratio test, and frequency filtering have been compared according to the text benchmarks based on Wikipedia. For each method we present the results of classification quality obtained on the test datasets using K-NN based approach. A main advantage of evaluated...

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  • Photocatalysts for Solar Energy Conversion

    Photocatalytic oxidation over suspended solid photocatalysts (e.g., titanium dioxide) has been proposed as a sustainable process for treatment and purification of water and wastewater as well as the process for photoconversion of solar energy to hydrogen, methane, and other low hydrocarbons. Solar radiation could be used to drive heterogeneous electrochemical reactions at the surface of an optically active photocatalyst (e.g.,...

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  • Text

    Czasopisma

    eISSN: 1327-9556

  • Acoustic Sensing Analytics Applied to Speech in Reverberation Conditions

    Publikacja

    The paper aims to discuss a case study of sensing analytics and technology in acoustics when applied to reverberation conditions. Reverberation is one of the issues that makes speech in indoor spaces challenging to understand. This problem is particularly critical in large spaces with few absorbing or diffusing surfaces. One of the natural remedies to improve speech intelligibility in such conditions may be achieved through speaking...

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  • Quality Evaluation of Voice Transmission Using BPL Communication System in MV Mine Cable Network

    Publikacja

    - Elektronika Ir Elektrotechnika - Rok 2019

    This article presents results of a quality evaluation study, considering voice transmission in a 6 kV medium voltage cable network using the BPL (Broadband over Power Line) communication system. The tests are carried out under real mining conditions for the selected power cable without voltage, earthed at both sides. Such a method of monitoring work conditions is of great importance, especially during a disaster. Power cables are...

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  • A Method of Real-Time Non-uniform Speech Stretching

    Publikacja

    Developed method of real-time non-uniform speech stretching is presented.The proposed solution is based on the well-known SOLA algorithm(Synchronous Overlap and Add). Non-uniform time-scale modification isachieved by the adjustment of time scaling factor values in accordance with thesignal content. Dependently on the speech unit (vowels/consonants), instantaneousrate of speech (ROS), and speech signal presence, values of the scalingfactor...

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  • Analysis-by-synthesis paradigm evolved into a new concept

    This work aims at showing how the well-known analysis-by-synthesis paradigm has recently been evolved into a new concept. However, in contrast to the original idea stating that the created sound should not fail to pass the foolproof synthesis test, the recent development is a consequence of the need to create new data. Deep learning models are greedy algorithms requiring a vast amount of data that, in addition, should be correctly...

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  • Facile synthetic route to selectively protected spermidine homologues

    Publikacja

    W wyniku opracowanej procedury otrzymano kilka selektywnie chronionych homologów spermidyny. Reakcja cyjanoetylowania monochronionych diamin pozwoliła na otrzymanie nitryli, które przekształcano w amidy pierwszorzędowe. Degradacja Hofmanna amidów doprowadziła do otrzymania finalnych związków.

  • Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach

    This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...

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  • Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework

    Publikacja

    - Rok 2023

    The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve...

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  • Comparison of various speech time-scale modificartion methods

    The objective of this work is to investigate the influence of the different time-scale modification (TSM) methods on the quality of the speech stretched up using the designed non-uniform real-time speech time-scale modification algorithm (NU-RTSM). The algorithm provides a combination of the typical TSM algorithm with the vowels, consonants, stutter, transients and silence detectors. Based on the information about the content and...

  • Enhanced voice user interface employing spatial filtration of signals from acoustic vector sensor

    Spatial filtration of sound is introduced to enhance speech recognition accuracy in noisy conditions. An acoustic vector sensor (AVS) is employed. The signals from the AVS probe are processed in order to attenuate the surrounding noise. As a result the signal to noise ratio is increased. An experiment is featured in which speech signals are disturbed by babble noise. The signals before and after spatial filtration are processed...

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  • Practical Method for the Preparation of 2,2-Dimethyl-5- {aryl[(hetero)aryl]methyl}-1,3-dioxane-4,6-diones: Synthesis and Mechanistic Study

    An efficient practical synthetic procedure has been developed for the synthesis of 2,2-dimethyl-5-{aryl[(hetero)aryl]methyl}- 1,3-dioxane-4,6-diones through Friedel–Crafts alkylation. The scope and limitation of the reaction of 2,2-dimethyl-5-arylidene-1,3-dioxane- 4,6-diones with π-excess aromatic systems have been delineated.

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  • Speech codec enhancements utilizing time compression and perceptual coding

    Publikacja

    A method for encoding wideband speech signal employing standardized narrowband speech codecs is presented as well as experimental results concerning detection of tonal spectral components. The speech signal sampled with a higher sampling rate than it is suitable for narrowband coding algorithm is compressed in order to decrease the amount of samples. Next, the time-compressed representation of a signal is encoded using a narrowband...

  • Anna Danuta Dettlaff dr inż.

    Tytuł magistra inżyniera uzyskała z wyróżnieniem w 2013 roku w Wydziale Chemii Analitycznej. W latach 2013-2017 była doktorantką na kierunku Technologia Chemiczna, podczas których zajmowała się pracą pt. "Badania nad nanokompozytami bazującymi na polimerach przewodzących oraz materiałach węglowych w celu zastosowania ich w superkondensatorach".  W 2015 roku odbyła trzymiesięczny staż naukowy w Oldenburgu w Niemczech. Stopień doktora...

  • Methods of Improving Speech Intelligibility for Listeners with Hearing Resolution Deficit

    Methods developed for real-time time scale modification (TSM) of speech signal are presented. They are based onthe non-uniform, speech rate depended SOLA algorithm (Synchronous Overlap and Add). Influence of theproposed method on the intelligibility of speech was investigated for two separate groups of listeners, i.e. hearingimpaired children and elderly listeners. It was shown that for the speech with average rate equal to or...

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  • Emotions in polish speech recordings

    Dane Badawcze
    open access

    The data set presents emotions recorded in sound files that are expressions of Polish speech. Statements were made by people aged 21-23, young voices of 5 men. Each person said the following words / nie – no, oddaj - give back, podaj – pass, stop - stop, tak - yes, trzymaj -hold / five times representing a specific emotion - one of three - anger (a),...

  • An Analysis of Neural Word Representations for Wikipedia Articles Classification

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2019

    One of the current popular methods of generating word representations is an approach based on the analysis of large document collections with neural networks. It creates so-called word-embeddings that attempt to learn relationships between words and encode this information in the form of a low-dimensional vector. The goal of this paper is to examine the differences between the most popular embedding models and the typical bag-of-words...

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  • Material for Automatic Phonetic Transcription of Speech Recorded in Various Conditions

    Publikacja

    Automatic speech recognition (ASR) is under constant development, especially in cases when speech is casually produced or it is acquired in various environment conditions, or in the presence of background noise. Phonetic transcription is an important step in the process of full speech recognition and is discussed in the presented work as the main focus in this process. ASR is widely implemented in mobile devices technology, but...

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  • Review: synthetic polymer hydrogels for biomedical applications

    Synthetic polymer hydrogels constitute a group of biomaterials, used in numerous biomedical disciplines, and are still developing for new promising applications. The aim of this study is to review information about well known and the newest hydrogels, show the importance of water uptake and cross-linking type and classify them in accordance with their chemical structure.

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  • Processing of musical data employing rough sets and artificial neural networks

    Publikacja

    Artykuł opisuje założenia systemu automatycznej identyfikacji muzyki i dźwięków muzycznych. Dokonano przeglądu standardu MPEG-7, ze szczególnym naciskiem na parametry opisowe dźwięku. Przedyskutowano problemy analizy danych audio, związane z zastosowaniami wykorzystującymi MPEG-7. W oparciu o eksperymenty przedstawiono efektywność deskryptorów niskiego poziomu w automatycznym rozpoznawaniu dźwięków instrumentów muzycznych. Przedyskutowano...

  • Processing of musical data employing rough sets and artificial neural networks

    Publikacja

    Artykuł opisuje założenia systemu automatycznej identyfikacji muzyki i dźwięków muzycznych. Dokonano przeglądu standardu MPEG-7, ze szczególnym naciskiem na parametry opisowe dźwięku. Przedyskutowano problemy analizy danych audio, związane z zastosowaniami wykorzystującymi MPEG-7. W oparciu o eksperymenty przedstawiono efektywność deskryptorów niskiego poziomu w automatycznym rozpoznawaniu dźwięków instrumentów muzycznych. Przedyskutowano...

  • Synthesis and photo-conversion of androsta- and pregna-5,7-dienes to vitamin D3-like derivatives

    Publikacja
    • M. Zmijewski
    • W. Li
    • J. Zjawiony
    • T. Sweatman
    • J. Chen
    • D. Miller
    • A. Slominski

    - PHOTOCHEMICAL & PHOTOBIOLOGICAL SCIENCES - Rok 2008

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  • An audio-visual corpus for multimodal automatic speech recognition

    review of available audio-visual speech corpora and a description of a new multimodal corpus of English speech recordings is provided. The new corpus containing 31 hours of recordings was created specifically to assist audio-visual speech recognition systems (AVSR) development. The database related to the corpus includes high-resolution, high-framerate stereoscopic video streams from RGB cameras, depth imaging stream utilizing Time-of-Flight...

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  • Voice Maps - portable, dedicated GIS for supporting street navigtion and self-dependent movement of the blind

    The concept and the prototype application of the system supporting the street navigation and independent, outdoor movement of the blind is presented. The system utilises the GIS database of geometric network of the pedestrian paths in the city and is capable of finding the route from the indicated source to destination. Subsequently, the system supports the movement of the blind along the found route. The information on the user's...

  • Early Stages of RNA-Mediated Conversion of Human Prions

    Publikacja

    - JOURNAL OF PHYSICAL CHEMISTRY B - Rok 2022

    Prion diseases are characterized by the conversion of prion proteins from a PrPC fold into a disease-causing PrPSC form that is self-replicating. A possible agent to trigger this conversion is polyadenosine RNA, but both mechanism and pathways of the conversion are poorly understood. Using coarse-grained molecular dynamic simulations we study the time evolution of PrPC over 600 μs. We find that both the D178N mutation and interacting...

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  • Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers

    Publikacja
    • T. Shmelova
    • Y. Sikirda
    • N. Rizun
    • V. Lazorenko
    • V. Kharchenko

    - Rok 2020

    This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...

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  • Coal Conversion

    Czasopisma

    ISSN: 1004-4248

  • Variational Method of Finding Streamlines in Ring Cascades for Creeping Flows

    Publikacja

    This paper presents a new, analytical method of finding streamlinesfor creeping flows inside a ring cascade which is composed of an infinite number of infinitely thin blades. An analytical solution has been obtained through minimisation of a dissipation functional by means of variational calculus method. The necessary condition for optimum of a functional gives the Stokes equation if some additional assumptions are introduced....

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  • Understanding Knowledge-Intensive Business Services. Identification, Systematization, and Characterization of Knowledge Flows

    Publikacja

    - Rok 2021

    This book contributes to an improved understanding of knowledge-intensive business services and knowledge management issues. It offers a complex overview of literature devoted to these topics and introduces the concept of ‘knowledge flows’, which constitutes a missing link in the previous knowledge management theories. The book provides a detailed analysis of knowledge flows, with their types, relations and factors influencing...

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  • Two Stage SVM and kNN Text Documents Classifier

    Publikacja

    - Rok 2015

    The paper presents an approach to the large scale text documents classification problem in parallel environments. A two stage classifier is proposed, based on a combination of k-nearest neighbors and support vector machines classification methods. The details of the classifier and the parallelisation of classification, learning and prediction phases are described. The classifier makes use of our method named one-vs-near. It is...

  • Synthetic Biology

    Czasopisma

    ISSN: 1939-7267 , eISSN: 2397-7000