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Hidden Markov model
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#	Item
81	Edit DistanceGraphical Models ......... Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-10-04 00:01:29 C++ Computer programming Software engineering Hidden Markov model C++ string handling Programming language theory
82	Identifying At-Risk Students in Massive Open Online Courses Add to Reading List Source URL: www.aaai.org Language: English - Date: 2015-01-06 20:22:35 Education Online education Regression analysis Educational technology Higher education Free software Massive open online course Logistic regression Hidden Markov model Machine learning Prediction Predictive analytics
83	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model
84	Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Hidden Markov model KullbackLeibler divergence
85	Protein Sequence-Structure Alignment Using 3D-HMM Masashi Fujita Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-06-07 21:35:17 Bioinformatics Sequence alignment Protein structure prediction Homology modeling BLAST Sequence analysis Structural alignment Hidden Markov model HH-suite Multiple sequence alignment
86	PDF Document Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-10-04 00:01:12 Markov models Bioinformatics Hidden Markov model Andrew Viterbi Dynamic programming
87	METHODS FOR APPLYING DYNAMIC SINUSOIDAL MODELS TO STATISTICAL PARAMETRIC SPEECH SYNTHESIS Qiong Hu1 , Yannis Stylianou2 , Ranniery Maia2 , Korin Richmond1 , Junichi Yamagishi1,3 1 The Centre for Speech Technology Resear Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Fourier analysis Digital signal processing Signal processing Waves Waveforms Vocoder Speech synthesis Speech coding Hidden Markov model Synthesizer Sine wave Window function
88	ATTRIBUTING MODELLING ERRORS IN HMM SYNTHESIS BY STEPPING GRADUALLY FROM NATURAL TO MODELLED SPEECH Thomas Merritt1 , Javier Latorre2 , Simon King1 1 2 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Probability distributions Digital signal processing Standard deviation Hidden Markov model Speech synthesis Window function Variance Ping Normal distribution
89	2012 FALL BIOSTATHomework #6 Due is Wednesday December 19th, :59PM by google document (shared to and ) containing the source code and answers to the questions. Also email of Add to Reading List Source URL: genome.sph.umich.edu Language: English - Date: 2012-12-18 11:16:25 Statistics Probability Mathematical analysis Probability distributions Tokamaks Fusion power Bioinformatics ITER Nuclear energy in France Hidden Markov model Normal distribution
90	A Decision Tree Framework for Spatiotemporal Sequence Prediction Taehwan Kim Yisong Yue Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2015-06-03 14:15:40 Machine learning Conditional random field Structured prediction Hidden Markov model Artificial neural network Dynamic programming Decision tree learning Pattern recognition Recursion Supervised learning

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