966 search results - page 7 / 194 » A Two-Level Learning Method for Generalized Multi-instance P... |
102
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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
109
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JMLR
2012
12 years 12 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
75
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IACR
2011
13 years 9 months ago
2011
Let r, B and w be positive integers. Let C be a linear code of length Bw and subspace of Fr 2. The k-regular-decoding problem is to find a nonzero codeword consisting of w length...
NIPS
2007
14 years 11 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
UAI
2008
14 years 11 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...