1900 search results - page 122 / 380 » Gaussian Processes in Machine Learning |
ML
2002
ACM
13 years 8 months ago
2002
ACM
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
ICALT
2006
IEEE
14 years 3 months ago
2006
IEEE
This study of the flow of online discussions examined how earlier messages affected later messages along five dimensions: (1) evaluations (agree, disagree, or unresponsive actions...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
ICGI
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We report here a number of results concerning the learnability of th...