65 search results - page 10 / 13 » Is Nonparametric Learning Practical in Very High Dimensional... |
159
Voted
UAI
2008
15 years 5 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
145
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ICMCS
2005
IEEE
15 years 9 months ago
2005
IEEE
ABSTRACT In this paper, we report our experiments using a realworld image dataset to examine the effectiveness of Isomap, LLE and KPCA. The 1,897-image dataset we used consists of ...
116
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
155
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ML
2008
ACM
15 years 2 months ago
2008
ACM
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
245
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SDM
2011
SIAM
14 years 6 months ago
2011
SIAM
Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...