Sciweavers

380 search results - page 39 / 76
» Models of active learning in group-structured state spaces
Sort
View
ICML
2003
IEEE
15 years 10 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
IJISTA
2007
124views more  IJISTA 2007»
14 years 9 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
ATAL
2010
Springer
14 years 10 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
ECMDAFA
2006
Springer
136views Hardware» more  ECMDAFA 2006»
15 years 1 months ago
Finding a Path to Model Consistency
A core problem in Model Driven Engineering is model consistency achievement: all models must satisfy relationships constraining them. Active consistency techniques monitor and cont...
Gregory de Fombelle, Xavier Blanc, Laurent Rioux, ...
ECCV
2010
Springer
15 years 2 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...