1236 search results - page 97 / 248 » Robust estimation for sparse data |
ICDM
2006
IEEE
15 years 7 months ago
2006
IEEE
Many 0/1 datasets have a very large number of variables; however, they are sparse and the dependency structure of the variables is simpler than the number of variables would sugge...
138
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SADM
2010
14 years 8 months ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
118
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DAWAK
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
102
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper presents a new algorithm for the problem of robust subspace learning (RSL), i.e., the estimation of linear subspace parameters from a set of data points in the presence...
CLEF
2007
Springer
15 years 7 months ago
2007
Springer
We present two simple but effective smoothing techniqes for the standard language model (LM) approach to information retrieval [12]. First, we extend the unigram Dirichlet smoothi...