281 search results - page 34 / 57 » Sum-product networks for modeling activities with stochastic... |
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
SAC
2000
ACM
14 years 2 days ago
2000
ACM
This paper presents a model for describing the synchronization between several media delivered over a network in a Web-based environment. Synchronization concerns the download and...
SAC
2004
ACM
14 years 1 months ago
2004
ACM
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
COCOA
2010
Springer
13 years 2 months ago
2010
Springer
An intense activity is nowadays devoted to the definition of models capturing the properties of complex networks. Among the most promising approaches, it has been proposed to model...
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...