1389 search results - page 210 / 278 » Model Combination for Machine Translation |
84
Voted
NIPS
2003
15 years 2 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
125
Voted
ICAC
2008
IEEE
15 years 7 months ago
2008
IEEE
Creating good adaptation policies is critical to building complex autonomic systems since it is such policies that define the system configuration used in any given situation. W...
101
Voted
ECAI
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. A well-known difficulty with solving Constraint Satisfaction Problems (CSPs) is that, while one formulation of a CSP may enable a solver to solve it quickly, a different ...
120
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We study the problem of simultaneously estimating several densities where the datasets are organized into overlapping groups, such as a hierarchy. For this problem, we propose a m...
118
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
We propose a fast iterative classification algorithm for Kernel Fisher Discriminant (KFD) using heterogeneous kernel models. In contrast with the standard KFD that requires the us...