Sciweavers

877 search results - page 55 / 176
» Selection of Subsets of Ordered Features in Machine Learning
Sort
View
106
Voted
CVPR
2007
IEEE
16 years 5 months ago
Detecting Pedestrians by Learning Shapelet Features
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
Payam Sabzmeydani, Greg Mori
136
Voted
ECML
2007
Springer
15 years 10 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
135
Voted
EMNLP
2009
15 years 1 months ago
Reverse Engineering of Tree Kernel Feature Spaces
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
Daniele Pighin, Alessandro Moschitti
130
Voted
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 4 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
121
Voted
ICML
1997
IEEE
16 years 4 months ago
Automatic Rule Acquisition for Spelling Correction
This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledg...
Lidia Mangu, Eric Brill