7519 search results - page 1121 / 1504 » Optimizing Generic Functions |
197
Voted
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
141
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
181
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
170
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
MDPs are an attractive formalization for planning, but realistic problems often have intractably large state spaces. When we only need a partial policy to get from a fixed start s...
162
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...