2683 search results - page 83 / 537 » Machine learning problems from optimization perspective |
96
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
125
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
129
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JMLR
2010
14 years 9 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
114
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...
112
Voted
CCIA
2006
Springer
15 years 6 months ago
2006
Springer
In multi-agent systems, individual problem solving capabilities can be improved thanks to the interaction with other agents. In the classification problem solving task each agent i...