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» Learning associative Markov networks
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101
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IJCNN
2000
IEEE
15 years 2 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
66
Voted
CORR
2011
Springer
136views Education» more  CORR 2011»
14 years 6 months ago
Submodular Decomposition Framework for Inference in Associative Markov Networks with Global Constraints
Anton Osokin, Dmitry Vetrov, Vladimir Kolmogorov
81
Voted
ICML
2008
IEEE
15 years 11 months ago
Discriminative structure and parameter learning for Markov logic networks
Tuyen N. Huynh, Raymond J. Mooney
110
Voted
ICMLA
2010
14 years 9 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...
72
Voted
ECML
2006
Springer
15 years 2 months ago
Deconvolutive Clustering of Markov States
In this paper we formulate the problem of grouping the states of a discrete Markov chain of arbitrary order simultaneously with deconvolving its transition probabilities. As the na...
Ata Kabán, Xin Wang