5990 search results - page 161 / 1198 » The Sampling Analysis Pattern |
119
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ECCV
2002
Springer
16 years 4 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
173
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
111
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
127
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ICGA
2007
15 years 2 months ago
2007
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...
129
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PKDD
2004
Springer
15 years 7 months ago
2004
Springer
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...