23 search results - page 4 / 5 » On Kernels, Margins, and Low-Dimensional Mappings |
125
Voted
ML
2008
ACM
14 years 11 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
122
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TCS
2008
15 years 9 days ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
115
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
111
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ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
92
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ADMA
2006
Springer
15 years 6 months ago
2006
Springer
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...