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TEC
2008
104views more  TEC 2008»
15 years 6 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
16 years 7 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...
IWANN
1995
Springer
15 years 10 months ago
Test Pattern Generation for Analog Circuits Using Neural Networks and Evolutive Algorithms
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
José Luis Bernier, Juan J. Merelo Guerv&oac...
GECCO
2004
Springer
16 years 3 days ago
Self Adaptation of Operator Rates in Evolutionary Algorithms
Abstract. This work introduces a new evolutionary algorithm that adapts the operator probabilities (rates) while evolves the solution of the problem. Each individual encodes its ge...
Jonatan Gomez
ICES
2003
Springer
165views Hardware» more  ICES 2003»
15 years 12 months ago
Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms
This paper proposes a coprocessor architecture to speed up hardware evolution. It is designed to be implemented in an FPGA with an integrated microprocessor core. The coprocessor r...
Tillmann Schmitz, Steffen G. Hohmann, Karlheinz Me...