Hidden Markov model

Results: 908



#Item
381Semantics / Cognitive science / Mental processes / Cognitive architecture / Neuropsychological assessment / Concept learning / Categorization / Prototype / Hidden Markov model / Mind / Cognition / Science

IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT 1 Conceptual Imitation Learning Based on Perceptual and Functional Characteristics of Action

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Source URL: www.cs.sfu.ca

Language: English - Date: 2013-05-14 17:00:07
382Knowledge / Part-of-speech tagging / Brill tagger / Hidden Markov model / Constraint Grammar / Inference / Viterbi algorithm / Ontology / Modal logic / Science / Markov models / Logic

Part of Speech Tagging from a Logical Point of View Torbjorn Lager1 and Joakim Nivre2 1 Uppsala University, Department of Linguistics, [removed]

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Source URL: www.ling.gu.se

Language: English - Date: 2003-08-18 05:17:07
383Probability and statistics / Hidden Markov model / Markov chain / Speech recognition / Forecasting / Baum–Welch algorithm / Pattern recognition / Markov models / Statistics / Science

LNCS[removed]A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 18:00:19
384Estimation theory / Machine learning / Bioinformatics / Hidden Markov model / Markov chain / Mixture model / Baum–Welch algorithm / Expectation–maximization algorithm / Speech recognition / Statistics / Markov models / Probability and statistics

Sparseness Achievement in Hidden Markov Models Manuele Bicego∗ DEIR - University of Sassari via Torre Tonda, [removed]Sassari - Italy

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:56:25
385Hidden Markov model / Estimation theory / Speech recognition / Expectation–maximization algorithm / Normal distribution / Layered hidden Markov model / Statistics / Markov models / Bioinformatics

Generalized Gaussian Distributions for Sequential Data Classification

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 18:00:09
386Econometrics / Statistical models / Markov processes / Estimation theory / Mixture model / Normal distribution / Hidden Markov model / Markov chain / Generalized method of moments / Statistics / Probability and statistics / Markov models

Travel Cost Inference from Sparse, Spatio-Temporally Correlated Time Series Using Markov Models Bin Yang Chenjuan Guo

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Source URL: www.vldb.org

Language: English - Date: 2013-08-01 05:51:47
387Generative model / Hidden Markov model / Speech recognition / Pattern recognition / Lawrence Rabiner / Discriminative model / Naive Bayes classifier / Embedding / Probabilistic latent semantic analysis / Statistics / Machine learning / Probability and statistics

3400 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 51, NO. 6, JUNE 2013 Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based

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Source URL: profs.sci.univr.it

Language: English - Date: 2014-05-20 05:48:55
388Fisher kernel / Information retrieval / Geostatistics / Computational linguistics / Pattern recognition / Hidden Markov model / Generative model / Cluster analysis / Generative / Statistics / Machine learning / Statistical classification

LNCS[removed]Clustering-Based Construction of Hidden Markov Models for Generative Kernels

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 18:00:46
389Bioinformatics / Technical analysis / Mathematical finance / Markov chain / Volatility / Hidden Markov model / Continuous function / Forecasting / Autoregressive conditional heteroskedasticity / Statistics / Markov models / Time series analysis

Analyzing the sign of financial local trends via Hidden Markov Models Manuele Bicego, Enrico Grosso and Edoardo Otranto The problem of forecasting financial time series has received great attention in the past. In this p

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 18:01:37
390Latent Dirichlet allocation / Dynamic topic model / Variational Bayesian methods / Topic model / Hidden Markov model / Calculus of variations / Mixture model / Bayesian inference / Dirichlet process / Statistics / Statistical natural language processing / Bayesian statistics

Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei Computer Science Department, Princeton University

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:23
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