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» Modularity and the Rule of Adaptation
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DATAMINE
2008
112views more  DATAMINE 2008»
13 years 8 months ago
PRIE: a system for generating rulelists to maximize ROC performance
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
Tom Fawcett
ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
14 years 1 months ago
A Complete, Local and Parallel Reconfiguration Algorithm for Cube Style Modular Robots
We present a complete, local, and parallel reconfiguration algorithm for metamorphic robots made up of Telecubes, six degree of freedom cube shaped modules currently being develop...
Sergei Vassilvitskii, Mark Yim, John W. Suh
OHS
2001
Springer
14 years 27 days ago
Adaptive Hypermedia System for Supporting Information Providers in Directing Users through Hyperspace
This paper introduces an adaptive hypermedia system that provides a means for information providers to direct their users through hyperspace. With our system, the information prov...
Yoshinori Hijikata, Tetsuya Yoshida, Shogo Nishida
FSS
2006
154views more  FSS 2006»
13 years 8 months ago
Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction
In this paper, a Sequential Adaptive Fuzzy Inference System called SAFIS is developed based on the functional equivalence between a radial basis function network and a fuzzy infer...
Hai-Jun Rong, N. Sundararajan, Guang-Bin Huang, P....
IFIP12
2008
13 years 10 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