2878 search results - page 157 / 576 » Learning the Common Structure of Data |
140
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
209
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
112
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ICICS
2009
Springer
15 years 10 months ago
2009
Springer
The overall structure is one of the most important properties of block ciphers. At present, the most common structures include Feistel structure, SP structure, MISTY structure, L-M...
125
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
142
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ICASSP
2007
IEEE
15 years 10 months ago
2007
IEEE
We propose an iterative probabilistic algorithm for estimation of RNA secondary structure using sequence data from two homologous sequences. The method is intended to exploit inte...