1055 search results - page 89 / 211 » Convex Factorization Machines |
134
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
143
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ICML
2009
IEEE
16 years 5 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...
111
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
In many real-world applications, such as image retrieval, it would be natural to measure the distances from one instance to others using instance specific distance which captures ...
121
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
166
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...