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» Machine Learning Techniques to Make Computers Easier to Use
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ICML
1994
IEEE
15 years 3 months ago
Greedy Attribute Selection
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...
Rich Caruana, Dayne Freitag
KER
2007
90views more  KER 2007»
14 years 11 months ago
PLTOOL: A knowledge engineering tool for planning and learning
AI planning solves the problem of generating a correct and efficient ordered set of instantiated activities, from a knowledge base of generic actions, which when executed will tra...
Susana Fernández, Daniel Borrajo, Raquel Fu...
ITICSE
2006
ACM
15 years 5 months ago
A web-based service for the automatic detection of roles of variables
Learning elementary programming can be enhanced by introducing the notion of variable roles to students. This paper presents a web-based automatic role detection service that can ...
Petri Gerdt, Jorma Sajaniemi
MLDM
2007
Springer
15 years 6 months ago
Ensemble-based Feature Selection Criteria
Recursive Feature Elimination (RFE) combined with feature ranking is an effective technique for eliminating irrelevant features when the feature dimension is large, but it is diffi...
Terry Windeatt, Matthew Prior, Niv Effron, Nathan ...
PR
2006
147views more  PR 2006»
14 years 11 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung