795 search results - page 32 / 159 » Feature Selection for Inductive Generalization |
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
86
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
83
Voted
WWW
2009
ACM
15 years 10 months ago
2009
ACM
In sponsored search, a number of advertising slots is available on a search results page, and have to be allocated among a set of advertisers competing to display an ad on the pag...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We present a discrete spectral framework for the sparse or cardinality-constrained solution of a generalized Rayleigh quotient. This NPhard combinatorial optimization problem is c...
PAA
2007
14 years 9 months ago
2007
Feature selection methods are often used to determine a small set of informative features that guarantee good classification results. Such procedures usually consist of two compon...