4255 search results - page 242 / 851 » On Learning Boolean Functions |
170
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
151
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ICTAI
2009
IEEE
16 years 1 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
215
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
139
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FOCM
2006
15 years 6 months ago
2006
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
170
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PAA
2008
15 years 6 months ago
2008
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...