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» Learning Decision Lists Using Homogeneous Rules
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ACL
1997
13 years 9 months ago
Learning Features that Predict Cue Usage
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanatio...
Barbara Di Eugenio, Johanna D. Moore, Massimo Paol...
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 9 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
IFIP12
2008
13 years 9 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
EUSFLAT
2003
107views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems
A typical task in technical fault detection or medical diagnosis problems is to discriminate normal behavior from one or more types of abnormal behavior by means of different meas...
Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg...
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
13 years 9 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small