325 search results - page 38 / 65 » Statistical Properties of Kernel Principal Component Analysi... |
101
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SIGIR
2008
ACM
15 years 1 months ago
2008
ACM
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
129
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
152
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NIPS
2003
15 years 3 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
100
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IJON
2007
15 years 1 months ago
2007
Kernel principal component analysis (KPCA) extracts features of samples with an efficiency in inverse proportion to the size of the training sample set. In this paper, we develop...
122
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CCS
2003
ACM
15 years 7 months ago
2003
ACM
This paper describes a system and annotation language, MECA, for checking security rules. MECA is expressive and designed for checking real systems. It provides a variety of pract...