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» Broadcasting with Selective Reduction
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ICPR
2006
IEEE
14 years 8 months ago
The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
Bo-Han Kuo, Chien-Hsing Chou, Fu Chang
DAC
1996
ACM
13 years 11 months ago
Desensitization for Power Reduction in Sequential Circuits
In this paper, we describe a technique for power reduction in sequential circuits. Existing signals in the circuit are used to selectively disable some of the registers so that a ...
Xiangfeng Chen, Peichen Pan, C. L. Liu
TCOS
2008
13 years 7 months ago
On Reduct Construction Algorithms
This paper critically analyzes reduct construction methods evels. At a high level, one can abstract commonalities from the existing algorithms, and classify them into three basic g...
Yiyu Yao, Yan Zhao, Jue Wang
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
IPM
2007
84views more  IPM 2007»
13 years 7 months ago
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks
This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization—a “parse-and-trim” approach and a...
David M. Zajic, Bonnie J. Dorr, Jimmy J. Lin, Rich...