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» Uncertainty Based Selection of Learning Experiences
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TNN
2010
176views Management» more  TNN 2010»
13 years 3 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
MICAI
2010
Springer
13 years 7 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Publication
198views
13 years 12 months ago
Real time policy based management of workflows for SLA Adherence
The need for service providers to offer SLAs to gain consumers confidence has become increasingly apparent. Our work focuses on providers who manage the execution of long-running d...
Daniel Spaven, Madhavi Rani, Sumit Kumar Bose, Mik...
PKDD
2010
Springer
168views Data Mining» more  PKDD 2010»
13 years 7 months ago
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
Gjergji Kasneci, Jurgen Van Gael, Ralf Herbrich, T...
AAAI
2006
13 years 10 months ago
Focused Real-Time Dynamic Programming for MDPs: Squeezing More Out of a Heuristic
Real-time dynamic programming (RTDP) is a heuristic search algorithm for solving MDPs. We present a modified algorithm called Focused RTDP with several improvements. While RTDP ma...
Trey Smith, Reid G. Simmons