2683 search results - page 248 / 537 » Machine learning problems from optimization perspective |
119
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
158
Voted
UAI
2004
15 years 4 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
138
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SIGGRAPH
2009
ACM
15 years 10 months ago
2009
ACM
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
140
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
POMDPs are the models of choice for reinforcement learning (RL) tasks where the environment cannot be observed directly. In many applications we need to learn the POMDP structure ...
119
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ACII
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. This paper presents research using full body skeletal movements captured using video-based sensor technology developed by Vicon Motion Systems, to train a machine to iden...