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PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
16 years 1 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ICTAI
2008
IEEE
16 years 1 months ago
Classifying Spend Descriptions with Off-the-Shelf Learning Components
Analyzing spend transactions is essential to organizations for understanding their global procurement. Central to this analysis is the automated classification of these transacti...
Saikat Mukherjee, Dmitriy Fradkin, Michael Roth
CSEE
2007
Springer
16 years 1 months ago
Practice and Transfer of Learning in the Teaching of Software Testing
Many university classes and commercial training courses rely on classroom lecture and practice exercises to help students learn new skills. The thesis work described in this paper...
Cem Kaner, Sowmya Padmanabhan
MICAI
2007
Springer
16 years 1 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
IJCNN
2006
IEEE
16 years 26 days ago
A Variational EM Approach to Predicting Uncertainty in Supervised Learning
— In many applications of supervised learning, the conditional average of the target variables is not sufficient for prediction. The dependencies between the explanatory variabl...
Markus Harva