36 search results - page 2 / 8 » Asymptotic Model Selection for Directed Networks with Hidden... |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
BSN
2009
IEEE
14 years 1 days ago
2009
IEEE
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
ESWA
2006
13 years 5 months ago
2006
Gene networks describe functional pathways in a given cell or tissue, representing processes such as metabolism, gene expression regulation, and protein or RNA transport. Thus, le...
AAAI
2008
13 years 7 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— Intention recognition is an important topic in human-robot cooperation that can be tackled using probabilistic model-based methods. A popular instance of such methods are Bayes...