1427 search results - page 88 / 286 » Kernels for Semi-Structured Data |
128
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
115
Voted
JAIR
2010
15 years 1 months ago
2010
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
110
Voted
ICDCS
2007
IEEE
15 years 9 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
117
Voted
SIGKDD
2000
15 years 2 months ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
140
Voted
ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...