1474 search results - page 149 / 295 » Using Machine Learning to Focus Iterative Optimization |
121
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ML
2007
ACM
15 years 2 months ago
2007
ACM
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
146
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ACL
2010
15 years 1 months ago
2010
We present cdec, an open source framework for decoding, aligning with, and training a number of statistical machine translation models, including word-based models, phrase-based m...
132
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
117
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ICIAR
2004
Springer
15 years 8 months ago
2004
Springer
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
146
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...