180 search results - page 13 / 36 » Introduction to Statistical Learning Theory |
WWW
2009
ACM
14 years 2 months ago
2009
ACM
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
JMLR
2010
13 years 2 months ago
2010
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long-standing answer, at least for the case of supervised c...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
JMLR
2012
11 years 10 months ago
2012
In this paper, we propose a novel formulation of the network clique detection problem by introducing a general network data representation framework. We show connections between o...