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IJCAI
2003
15 years 8 months ago
Continuous nonlinear dimensionality reduction by kernel Eigenmaps
We equate nonlinear dimensionality reduction (NLDR) to graph embedding with side information about the vertices, and derive a solution to either problem in the form of a kernel-ba...
Matthew Brand
ECAI
2010
Springer
15 years 4 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
ICML
2008
IEEE
16 years 8 months ago
Confidence-weighted linear classification
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
Mark Dredze, Koby Crammer, Fernando Pereira
ICML
2009
IEEE
16 years 8 months ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
WEBNET
2001
15 years 8 months ago
Using Online Tools to Enhance Classrooms: A Case Study with MaSH (Making Serendipity Happen)
: The middle ground between distance learning and standard-issue classroom education is ripe for exploration. In particular, the Open Directory Project shows that groups of people ...
Dan Cosley