1769 search results - page 14 / 354 » Prediction on Spike Data Using Kernel Algorithms |
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
VLSISP
2011
13 years 2 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
NIPS
2001
13 years 9 months ago
2001
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
SIGKDD
2000
13 years 7 months ago
2000
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...