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FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
14 years 1 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
ACSD
2003
IEEE
102views Hardware» more  ACSD 2003»
13 years 11 months ago
Specification Coverage Aided Test Selection
In this paper test selection strategies in formal conformance testing are considered. As the testing conformance relation we use the ioco relation, and extend the previously prese...
Tuomo Pyhälä, Keijo Heljanko
CDC
2010
IEEE
128views Control Systems» more  CDC 2010»
13 years 2 months ago
Greedy sensor selection: Leveraging submodularity
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
Manohar Shamaiah, Siddhartha Banerjee, Haris Vikal...
INFOCOM
2007
IEEE
14 years 1 months ago
Landmark Selection and Greedy Landmark-Descent Routing for Sensor Networks
—We study the problem of landmark selection for landmark-based routing in a network of fixed wireless communication nodes. We present a distributed landmark selection algorithm ...
An Nguyen, Nikola Milosavljevic, Qing Fang, Jie Ga...
CIBCB
2006
IEEE
14 years 1 months ago
A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction
— Microarray data analysis is notoriously challenging as it involves a huge number of genes compared to only a limited number of samples. Gene selection, to detect the most signi...
Yi Shi, Zhipeng Cai, Lizhe Xu, Wei Ren, Randy Goeb...