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Trust consistency in public data games on complex networks

JOURNAL ARTICLE published October 2021 in International Journal of Machine Learning and Cybernetics

Research funded by National Natural Science Foundation of China (61573173)

Authors: Meng Li | Zengru Di | Wenqi Liu

https://doi.org/10.1007/s13042-021-01378-6 Actions

Introduction

BOOK CHAPTER published 11 May 2021 in Machine Learning in Asset Pricing

Authors: Stefan Nagel

https://doi.org/10.23943/princeton/9780691218700.003.0001 Actions

Composite kernel learning

JOURNAL ARTICLE published May 2010 in Machine Learning

Authors: Marie Szafranski | Yves Grandvalet | Alain Rakotomamonjy

https://doi.org/10.1007/s10994-009-5150-6 Actions

Learning the set covering machine by bound minimization and margin-sparsity trade-off

JOURNAL ARTICLE published January 2010 in Machine Learning

Authors: François Laviolette | Mario Marchand | Mohak Shah | Sara Shanian

https://doi.org/10.1007/s10994-009-5137-3 Actions

Some Issues on Consistency of Fuzzy Analytic Hierarchy Process

PROCEEDINGS ARTICLE published August 2006 in 2006 International Conference on Machine Learning and Cybernetics

Authors: Tien-chin Wang | Yueh-hsiang Chen

https://doi.org/10.1109/icmlc.2006.259043 Actions

A Survey of Statistical Network Models

JOURNAL ARTICLE published 2009 in Foundations and Trends® in Machine Learning

Authors: Anna Goldenberg

https://doi.org/10.1561/2200000005 Actions

A Survey of Statistical Network Models

JOURNAL ARTICLE published 2009 in Foundations and Trends® in Machine Learning

Authors: Anna Goldenberg

https://doi.org/10.1561/2200000008 Actions

JOURNAL ARTICLE published 1993 in Machine Learning

Authors: Manuela M. Veloso | Jaime G. Carbonell

https://doi.org/10.1023/a:1022686910523 Actions

What is decreased by the max-sum arc consistency algorithm?

PROCEEDINGS ARTICLE published 20 June 2007 in Proceedings of the 24th international conference on Machine learning

Authors: Tomáš Werner

https://doi.org/10.1145/1273496.1273623 Actions

Piecewise training for structured prediction

JOURNAL ARTICLE published December 2009 in Machine Learning

Authors: Charles Sutton | Andrew McCallum

https://doi.org/10.1007/s10994-009-5112-z Actions

Generalized isotonic conditional random fields

JOURNAL ARTICLE published December 2009 in Machine Learning

Authors: Yi Mao | Guy Lebanon

https://doi.org/10.1007/s10994-009-5139-1 Actions

Search-based structured prediction

JOURNAL ARTICLE published June 2009 in Machine Learning

Authors: Hal Daumé | John Langford | Daniel Marcu

https://doi.org/10.1007/s10994-009-5106-x Actions

Group online adaptive learning

JOURNAL ARTICLE published October 2017 in Machine Learning

Authors: Alon Zweig | Gal Chechik

https://doi.org/10.1007/s10994-017-5661-5 Actions

Key generation for static visual watermarking by machine learning

PROCEEDINGS ARTICLE published July 2009 in 2009 International Conference on Machine Learning and Cybernetics

Authors: Kensuke Naoe | Yoshiyasu Takefuji

https://doi.org/10.1109/icmlc.2009.5212624 Actions

Dimension Reduction: A Guided Tour

JOURNAL ARTICLE published 2009 in Foundations and Trends® in Machine Learning

Authors: Christopher J. C. Burges

https://doi.org/10.1561/2200000002 Actions

Semi-supervised bidirectional RNN for misinformation detection

JOURNAL ARTICLE published December 2022 in Machine Learning with Applications

Authors: Xishuang Dong | Lijun Qian

https://doi.org/10.1016/j.mlwa.2022.100428 Actions

Machine learning in remote sensing data processing

PROCEEDINGS ARTICLE published September 2009 in 2009 IEEE International Workshop on Machine Learning for Signal Processing

Authors: Gustavo Camps-Valls

https://doi.org/10.1109/mlsp.2009.5306233 Actions

On the quest for optimal rule learning heuristics

JOURNAL ARTICLE published March 2010 in Machine Learning

Authors: Frederik Janssen | Johannes Fürnkranz

https://doi.org/10.1007/s10994-009-5162-2 Actions

Preface

PROCEEDINGS ARTICLE published December 2009 in 2009 International Conference on Machine Learning and Applications

https://doi.org/10.1109/icmla.2009.4 Actions

An efficient algorithm for learning to rank from preference graphs

JOURNAL ARTICLE published April 2009 in Machine Learning

Authors: Tapio Pahikkala | Evgeni Tsivtsivadze | Antti Airola | Jouni Järvinen | Jorma Boberg

https://doi.org/10.1007/s10994-008-5097-z Actions
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