2884 search results - page 384 / 577 » Evaluating learning algorithms and classifiers |
CP
2005
Springer
14 years 3 days ago
2005
Springer
In this paper we present and evaluate an evolutionary approach for learning new constraint satisfaction algorithms, specifically for MAX-SAT optimisation problems. Our approach of...
ACL
2003
13 years 11 months ago
2003
We describe an algorithm for recovering non-local dependencies in syntactic dependency structures. The patternmatching approach proposed by Johnson (2002) for a similar task for p...
JMLR
2010
13 years 5 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
NIPS
2004
13 years 11 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...