185 search results - page 8 / 37 » An empirical evaluation of supervised learning in high dimen... |
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
WEBI
2005
Springer
14 years 1 months ago
2005
Springer
The most well known search techniques are perhaps the PageRank and HITS algorithms. In this paper we argue that these algorithms miss an important dimension, the temporal dimensio...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
ICDE
1997
IEEE
14 years 9 months ago
1997
IEEE
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
COLT
2001
Springer
14 years 1 days ago
2001
Springer
The notion of embedding a class of dichotomies in a class of linear half spaces is central to the support vector machines paradigm. We examine the question of determining the mini...