125 search results - page 1 / 25 » Online Feature Selection using Grafting |
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
PREMI
2011
Springer
13 years 1 months ago
2011
Springer
Abstract. In this paper we approach feature set selection phase in signature verification by applying the method for selection of regression variables based on Mallows Cp criterio...
AAAI
2008
14 years 1 months ago
2008
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...