95 search results - page 15 / 19 » Reduction Techniques for Instance-Based Learning Algorithms |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
AAAI
2008
14 years 12 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
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IEAAIE
2003
Springer
15 years 2 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
102
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...