1419 search results - page 83 / 284 » Approximation Methods for Supervised Learning |
145
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TSMC
2010
14 years 7 months ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
88
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
95
Voted
TREC
2007
15 years 1 months ago
2007
Relaxed Online Support Vector Machines (ROSVMs) have recently been proposed as an efficient methodology for attaining an approximate SVM solution for streaming data such as the on...
135
Voted
ICML
1999
IEEE
16 years 1 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
143
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ILP
2004
Springer
15 years 5 months ago
2004
Springer
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...