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» Efficient Distributed Genetic Algorithm for Rule Extraction
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DAC
2008
ACM
14 years 8 months ago
Stochastic integral equation solver for efficient variation-aware interconnect extraction
In this paper we present an efficient algorithm for extracting the complete statistical distribution of the input impedance of interconnect structures in the presence of a large n...
Tarek Moselhy, Luca Daniel
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
AI
2008
Springer
13 years 7 months ago
Alternating-offers bargaining with one-sided uncertain deadlines: an efficient algorithm
In the arena of automated negotiations we focus on the principal negotiation protocol in bilateral settings, i.e. the alternatingoffers protocol. In the scientific community it is...
Nicola Gatti, Francesco Di Giunta, Stefano Marino
EGICE
2006
13 years 11 months ago
Evolutionary Generation of Implicative Fuzzy Rules for Design Knowledge Representation
Abstract. In knowledge representation by fuzzy rule based systems two reasoning mechanisms can be distinguished: conjunction-based and implication-based inference. Both approaches ...
Mark Freischlad, Martina Schnellenbach-Held, Torbe...
DGO
2007
192views Education» more  DGO 2007»
13 years 9 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger