130 search results - page 17 / 26 » Learning Subjective Functions with Large Margins |
JMLR
2002
13 years 8 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
DATAMINE
2006
13 years 8 months ago
2006
Data visualization plays a crucial role in identifying interesting patterns in exploratory data analysis. Its use is, however, made difficult by the large number of possible data p...
SIGMOD
2012
ACM
11 years 11 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...