130 search results - page 13 / 26 » Learning Subjective Functions with Large Margins |
SIGMOD
2007
ACM
14 years 8 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
MICCAI
2009
Springer
14 years 9 months ago
2009
Springer
We study the problem of classifying mild Alzheimer's disease (AD) subjects from healthy individuals (controls) using multi-modal image data, to facilitate early identification...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...