1150 search results - page 101 / 230 » Tackling Large State Spaces in Performance Modelling |
163
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ICIP
2005
IEEE
16 years 5 months ago
2005
IEEE
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
147
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CVPR
2003
IEEE
16 years 6 months ago
2003
IEEE
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in ...
153
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AIPS
2007
15 years 6 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
143
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DAC
1996
ACM
15 years 8 months ago
1996
ACM
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
138
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...