Metadata Search Funding Data Link References Status API Help
Facet browsing currently unavailable
Page 1 of 167667 results
Sort by: relevance publication year

Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k

PROCEEDINGS ARTICLE published 2008 in 2008 Seventh International Conference on Machine Learning and Applications

Authors: K. Nunez | J. Chen | P. Chen | G. Ding | R. F. Lax | B. Marx

Learning hidden Markov models from the state distribution oracle

PROCEEDINGS ARTICLE published in 2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

Authors: L.G. Moscovich

Greedy learning of latent tree models for multidimensional clustering

JOURNAL ARTICLE published January 2015 in Machine Learning

Authors: Teng-Fei Liu | Nevin L. Zhang | Peixian Chen | April Hua Liu | Leonard K. M. Poon | Yi Wang

Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models

PROCEEDINGS ARTICLE published December 2013 in 2013 12th International Conference on Machine Learning and Applications

Authors: Cody Hudson | Bernard Chen

Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models

BOOK CHAPTER published 2010 in Handbook of Research on Machine Learning Applications and Trends

Authors: Guoliang Fan | Yi Ding

Markov Networks

BOOK CHAPTER published 30 November 2020 in Data-Driven Computational Neuroscience

A new method for learning pseudo-Boolean functions with applications in terrorists profiling

PROCEEDINGS ARTICLE published in IEEE Conference on Cybernetics and Intelligent Systems, 2004.

Authors: J. Chen | P. Chen | G. Ding | R. Lax

Active Learning of Markov Decision Processes for System Verification

PROCEEDINGS ARTICLE published December 2012 in 2012 11th International Conference on Machine Learning and Applications

Authors: Yingke Chen | Thomas Dyhre Nielsen

Soft Failure Detection Using Factorial Hidden Markov Models

PROCEEDINGS ARTICLE published December 2007 in Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

Authors: Guillaume Bouchard | Jean-Marc Andreoli

A Feasibility Study of Machine Learning Models for Cancer Rate Prediction

POSTED CONTENT published

Authors: Shan Chen | Yuanzhao Ding

Mathematical models for biological networks and machine learning with applications

DISSERTATION published

Authors: Yushan Qiu

Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach

BOOK CHAPTER published 2010 in Machine Learning and Knowledge Discovery in Databases

Authors: Katya Scheinberg | Irina Rish

Combining multi-distributed mixture models and bayesian networks for semi-supervised learning

PROCEEDINGS ARTICLE published December 2007 in Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

Authors: Manuel Stritt | Lars Schmidt-Thieme | Gerhard Poeppel

Transfer Learning for Activity Recognition

BOOK CHAPTER published 2023 in Introduction to Transfer Learning

Authors: Jindong Wang | Yiqiang Chen

Index

OTHER published December 2023 in Multimodal Biometric and Machine Learning Technologies

Classroom Climate and Learning Effectiveness Comparison for Physical and Cyber F2F Interaction in Holistic-Blended Learning Environment

PROCEEDINGS ARTICLE published July 2007 in Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007)

Authors: Nian-Shing Chen | Chun-Wang Wei | Yi-Ru Chen | Yu-Chun Wang

Hunting Malicious Windows Commands with Multi Machine Learning Technologies

PROCEEDINGS ARTICLE published 23 April 2021 in 2021 6th International Conference on Machine Learning Technologies

Authors: Yi-Chung Tseng | Wei-An Chen

Supervised reinforcement learning using behavior models

PROCEEDINGS ARTICLE published December 2007 in Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

Authors: Victor Uc-Cetina

Dictionary learning over large distributed models via dual-ADMM strategies

PROCEEDINGS ARTICLE published September 2014 in 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Authors: Zaid J. Towfic | Jianshu Chen | Ali H. Sayed

Topic Models for NLP Applications

BOOK CHAPTER published 2017 in Encyclopedia of Machine Learning and Data Mining

Authors: Zhiyuan Chen | Bing Liu