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GPEM
2002
104views more  GPEM 2002»
15 years 14 days ago
Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
Krzysztof Krawiec
95
Voted
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
15 years 6 months ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
123
Voted
CGO
2010
IEEE
15 years 7 months ago
Level by level: making flow- and context-sensitive pointer analysis scalable for millions of lines of code
We present a practical and scalable method for flow- and contextsensitive (FSCS) pointer analysis for C programs. Our method analyzes the pointers in a program level by level in ...
Hongtao Yu, Jingling Xue, Wei Huo, Xiaobing Feng 0...
ICCAD
1993
IEEE
123views Hardware» more  ICCAD 1993»
15 years 4 months ago
Optimal sizing of high-speed clock networks based on distributed RC and lossy transmission line models
We have proposed an e cient measure to reduce the clock skew by assigning the clock network with variable branch widths. This measure has long been used for \H" clock tree. T...
Qing Zhu, Wayne Wei-Ming Dai, Joe G. Xi
93
Voted
NIPS
1998
15 years 2 months ago
Divisive Normalization, Line Attractor Networks and Ideal Observers
Gain control by divisive inhibition, a.k.a. divisive normalization, has been proposed to be a general mechanism throughout the visual cortex. We explore in this study the statisti...
Sophie Deneve, Alexandre Pouget, Peter E. Latham