2440 search results - page 175 / 488 » Learn .MT: A New Approach to Incremental Learning |
187
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
181
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GECCO
2007
Springer
16 years 25 days ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
165
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MIR
2006
ACM
16 years 18 days ago
2006
ACM
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
152
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LREC
2010
15 years 8 months ago
2010
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
184
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...