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FUIN
2010
268views more  FUIN 2010»
15 years 1 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
16 years 1 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
BMCBI
2005
118views more  BMCBI 2005»
15 years 6 months ago
Feature selection and nearest centroid classification for protein mass spectrometry
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...
Ilya Levner
GLOBECOM
2006
IEEE
16 years 24 days ago
Rate Adaptation for Cooperative Systems
— Throughput is an important performance measure for data communications over wireless links. In this work, we consider joint adaptation of coding rates, modulation modes and lev...
Zinan Lin, Elza Erkip, Monisha Ghosh
MOBIWAC
2006
ACM
16 years 21 days ago
Sink mobility protocols for data collection in wireless sensor networks
In wireless sensor networks data propagation is usually performed by sensors transmitting data towards a static control center (sink). Inspired by important applications (mostly r...
Ioannis Chatzigiannakis, Athanasios Kinalis, Sotir...