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» Using Markov Blankets for Causal Structure Learning
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JMLR
2010
202views more  JMLR 2010»
14 years 10 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
129
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GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 9 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
146
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
139
Voted
ISF
2007
104views more  ISF 2007»
15 years 3 months ago
Overcoming organizational challenges to secure knowledge management
—Successful secure knowledge management requires consideration of both technical and organizational concerns. We use the example of existing industrial incident management system...
Finn Olav Sveen, Eliot Rich, Matthew Jager
133
Voted
ESWA
2007
117views more  ESWA 2007»
15 years 3 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde