1305 search results - page 167 / 261 » An Optimization Algorithm Based on Active and Instance-Based... |
113
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
123
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
114
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
108
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ICMI
2005
Springer
15 years 8 months ago
2005
Springer
This paper addresses the problem of detecting interaction groups in an intelligent environment. To understand human activity, we need to identify human actors and their interperso...
140
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CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...