36 search results - page 2 / 8 » A Stagewise Least Square Loss Function for Classification |
TEC
2008
13 years 4 months ago
2008
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
PAMI
2010
12 years 11 months ago
2010
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
IWANN
2009
Springer
13 years 11 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
KES
2006
Springer
13 years 4 months ago
2006
Springer
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...