3668 search results - page 274 / 734 » Margin Distribution and Learning |
197
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EUSFLAT
2003
15 years 8 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
179
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CORR
2010
Springer
15 years 7 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
147
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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...
168
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INFORMATICALT
2006
15 years 6 months ago
2006
Abstract. The asynchronous techniques that exist within the programming with distributed constraints are characterized by the occurrence of the nogood values during the search for ...
216
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...