798 search results - page 128 / 160 » Perceptual Learning and Abstraction in Machine Learning |
77
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PPSN
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
112
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AI
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
RECOMB
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
92
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GFKL
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...