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MDAI
2005
Springer
15 years 10 months ago
Meta-data: Characterization of Input Features for Meta-learning
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
Ciro Castiello, Giovanna Castellano, Anna Maria Fa...
CVPR
2007
IEEE
15 years 8 months ago
Improving Part based Object Detection by Unsupervised, Online Boosting
Detection of objects of a given class is important for many applications. However it is difficult to learn a general detector with high detection rate as well as low false alarm r...
Bo Wu, Ram Nevatia
ICML
2010
IEEE
15 years 5 months ago
Toward Off-Policy Learning Control with Function Approximation
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
Hamid Reza Maei, Csaba Szepesvári, Shalabh ...
155
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AAAI
2006
15 years 6 months ago
Action Selection in Bayesian Reinforcement Learning
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
Tao Wang
ESWS
2007
Springer
15 years 11 months ago
Semantic Process Retrieval with iSPARQL
Abstract. The vision of semantic business processes is to enable the integration and inter-operability of business processes across organizational boundaries. Since different orga...
Christoph Kiefer, Abraham Bernstein, Hong Joo Lee,...