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» Feature selection for automatic taxonomy induction
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JAIR
2010
131views more  JAIR 2010»
13 years 3 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
DOCENG
2006
ACM
13 years 10 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
CADE
1994
Springer
13 years 8 months ago
Pi: an Interactive Derivation Editor for the Calculus of Partial Inductive Definitions
Pi is a system for the interactive construction and editing of formal derivations in the calculus of finitary partial inductive definitions. This calculus can be used as a logical ...
Lars-Henrik Eriksson
EWCBR
2000
Springer
13 years 8 months ago
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Danie...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
13 years 9 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...