1419 search results - page 171 / 284 » Approximation Methods for Supervised Learning |
126
Voted
RSKT
2009
Springer
15 years 8 months ago
2009
Springer
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
126
Voted
JMLR
2010
14 years 9 months ago
2010
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
100
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NIPS
1998
15 years 3 months ago
1998
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
146
Voted
CORR
2012
Springer
13 years 10 months ago
2012
Springer
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
148
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MICCAI
2007
Springer
16 years 3 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...