3624 search results - page 326 / 725 » Learning to learn: From smart machines to intelligent machin... |
151
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
202
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
174
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
197
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
187
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ICML
1997
IEEE
16 years 7 months ago
1997
IEEE
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...