3475 search results - page 498 / 695 » Backbones in Optimization and Approximation |
171
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
175
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
158
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SIGSOFT
2008
ACM
16 years 7 months ago
2008
ACM
Framework-intensive applications (e.g., Web applications) heavily use temporary data structures, often resulting in performance bottlenecks. This paper presents an optimized blend...
159
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
In this work we focus on the problem of frequent itemset mining on large, out-of-core data sets. After presenting a characterization of existing out-of-core frequent itemset minin...
152
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
We introduce a new EM framework in which it is possible not only to optimize the model parameters but also the number of model components. A key feature of our approach is that we...