99 search results - page 8 / 20 » Ranking and Scoring Using Empirical Risk Minimization |
64
Voted
NIPS
2007
14 years 11 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
AI
2008
Springer
14 years 9 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
115
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EDBT
2011
ACM
14 years 1 months ago
2011
ACM
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build u...
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...