798 search results - page 99 / 160 » Perceptual Learning and Abstraction in Machine Learning |
110
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
COLT
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. The classical perceptron algorithm is an elementary algorithm for solving a homogeneous linear inequality system Ax > 0, with many important applications in learning t...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
101
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ECML
2006
Springer
14 years 11 months ago
2006
Springer
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
ALT
1999
Springer
15 years 2 months ago
1999
Springer
Abstract. Blum and Blum (1975) showed that a class B of suitable recursive approximations to the halting problem is reliably EX-learnable. These investigations are carried on by sh...