59 search results - page 4 / 12 » Hybrid learning of large jigsaws |
SDM
2012
SIAM
11 years 11 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
CORR
2004
Springer
13 years 8 months ago
2004
Springer
: The integration of different learning and adaptation techniques to overcome individual limitations and to achieve synergetic effects through the hybridization or fusion of these ...
ATAL
2011
Springer
12 years 8 months ago
2011
Springer
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
AIMSA
2008
Springer
13 years 10 months ago
2008
Springer
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...