216 search results - page 20 / 44 » Building Support Vector Machines with Reduced Classifier Com... |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
ICPR
2010
IEEE
13 years 12 months ago
2010
IEEE
This paper introduces a geometrically inspired large-margin classifier that can be a better alternative to the Support Vector Machines (SVMs) for the classification problems with ...
SETN
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
NIPS
2004
13 years 8 months ago
2004
This paper proposes a method for computing fast approximations to support vector decision functions in the field of object detection. In the present approach we are building on an...