384 search results - page 31 / 77 » Learning Markov Network Structure with Decision Trees |
RECOMB
2004
Springer
14 years 9 months ago
2004
Springer
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
PAMI
2011
13 years 3 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
CDC
2009
IEEE
14 years 25 days ago
2009
IEEE
Distributed decision making in networked systems depends critically on the timely availability of critical fresh information. Performance of networked systems, from the perspective...
ICASSP
2011
IEEE
13 years 16 days ago
2011
IEEE
Current hidden Markov acoustic modeling for large vocabulary continuous speech recognition (LVCSR) relies on the availability of abundant labeled transcriptions. Given that speech...