881 search results - page 74 / 177 » Spectral Algorithms for Supervised Learning |
MICAI
2004
Springer
15 years 3 months ago
2004
Springer
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
COLING
2002
14 years 9 months ago
2002
While Named Entity extraction is useful in many natural language applications, the coarse categories that most NE extractors work with prove insufficient for complex applications ...
CORR
2012
Springer
13 years 5 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
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DAGM
2011
Springer
13 years 9 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
NCA
2002
IEEE
14 years 9 months ago
2002
IEEE
Fitting gaussian peaks to experimental data is important in many disciplines, including nuclear spectroscopy. Nonlinear least squares fitting methods have been in use for a long t...