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Computational model
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121	Model coupling with OpenMI – Introduction, basic concepts and live demonstration OpenMI Webinar – April 21st, 2016 Bernhard Becker and Andreas Burzel - Deltares , Add to Reading List Source URL: www.deltares.nl Language: English - Date: 2016-05-30 10:46:31 Software engineering Computational science Scientific modeling OpenMI Standard Coupling Economic model Web conferencing Computer simulation Business process modeling Computing Software
122	Quartet Inference from SNP Data Under the Coalescent Model Julia Chifman and Laura Kubatko By Shashank Yaduvanshi Add to Reading List Source URL: tandy.cs.illinois.edu Language: English - Date: 2015-04-12 21:30:54 Phylogenetics Computational phylogenetics Biology Bioinformatics Phylogenetic tree Supertree Sequence alignment
123	UNIVERSITÀ DEGLI STUDI DI GENOVA SCUOLA POLITECNICA CORSO DI STUDI IN BIOINGEGNERIA CODICE E NOME CORSO: ANALYSIS AND MODELS OF BIOMEDICAL DATA AND SIGNALS 80563 Add to Reading List Source URL: www.biomedica.ingegneria.unige.it Language: English - Date: 2013-11-11 04:04:04 Infographics Computational science Data modeling Visualization Data analysis Data model Science Philosophy of science
124	Enhancing Entity Linking by Combining NER Models Julien Plu1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France julien.plu\| Add to Reading List Source URL: giusepperizzo.github.io Language: English - Date: 2016-08-05 11:54:54 Natural language processing Computational linguistics Linguistics Artificial intelligence Named-entity recognition Machine learning Information extraction Entity linking Part-of-speech tagging Entityrelationship model Cross-validation
125	Fully Unsupervised Small-Vocabulary Speech Recognition Using a Segmental Bayesian Model Herman Kamper1,2 , Aren Jansen3 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh, UK Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Statistics Machine learning Artificial intelligence Statistical models Markov models Language modeling Computational linguistics Mixture model Word embedding Image segmentation Hidden Markov model Speech recognition
126	Reducing Errors in Atmospheric Density Modelling Using a Multi-Model Ensemble S. * Elvidge , Add to Reading List Source URL: seanelvidge.com Language: English - Date: 2014-02-23 17:16:00 Atmospheric sciences Meteorology Atmosphere of Earth Climatology Climate modeling Computational science Atmosphere NRLMSISE-00 General circulation model Space weather Thermosphere
127	Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Buesing¤, Johannes Bill, Bernhard Nessler, Wolfgang Maass Institute for Theoretical Computer Science, Graz U Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English* - Date: 2014-10-13 19:51:17 Neuroscience Computational neuroscience Nervous system Biology Artificial neural network Biological neuron model Spiking neural network Neural oscillation Gibbs sampling Action potential Neuron Stochastic process
128	Major Collaborative Research On Interface Asymmetries The major fundamental challenge of this research is to develop a model of the contact points (or interfaces) between the language faculty and the other faculties of Add to Reading List Source URL: asymmetryproject.uqam.ca Language: English - Date: 2004-12-10 12:18:00 Cognitive science Cognition Anna Maria Di Sciullo Linguistics Language module Computational linguistics ACT-R Cognitive biology Cognitive linguistics
129	STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom ABSTRACT State- Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2016-07-12 11:46:12 Markov models Machine learning Artificial intelligence Learning Computational linguistics Speech recognition software Computer accessibility Speech recognition Hidden Markov model Conditional random field Language model Image segmentation

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