406 search results - page 2 / 82 » Covering Numbers for Support Vector Machines |
ISCAS
2005
IEEE
13 years 11 months ago
2005
IEEE
—Support Vector Machines are emerging as a powerful machine-learning tool. Logarithmic Number Systems (LNS) utilize the property of logarithmic compression for numerical operatio...
DSD
2004
IEEE
13 years 9 months ago
2004
IEEE
In this paper we present an analysis of the minimal hardware precision required to implement Support Vector Machine (SVM) classification within a Logarithmic Number System archite...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
ICIC
2005
Springer
13 years 10 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
NIPS
2003
13 years 6 months ago
2003
The decision functions constructed by support vector machines (SVM’s) usually depend only on a subset of the training set—the so-called support vectors. We derive asymptotical...