1393 search results - page 53 / 279 » Machine Learning by Function Decomposition |
111
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ICML
1995
IEEE
16 years 2 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
135
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KDD
2004
ACM
16 years 1 months ago
2004
ACM
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
124
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JMLR
2010
14 years 8 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...
116
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ICDM
2002
IEEE
15 years 6 months ago
2002
IEEE
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...