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WWW
2005
ACM
14 years 10 months ago
A comprehensive comparative study on term weighting schemes for text categorization with support vector machines
Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital step in automatic text categorization. In this paper, we conducted com...
Man Lan, Chew Lim Tan, Hwee-Boon Low, Sam Yuan Sun...
STOC
2001
ACM
147views Algorithms» more  STOC 2001»
14 years 10 months ago
Conditions on input vectors for consensus solvability in asynchronous distributed systems
This article introduces and explores the condition-based approach to solve the consensus problem in asynchronous systems. The approach studies conditions that identify sets of inpu...
Achour Mostéfaoui, Michel Raynal, Sergio Ra...
EWSN
2008
Springer
14 years 9 months ago
Characterizing Mote Performance: A Vector-Based Methodology
Sensors networks instrument the physical space using motes that run network embedded programs thus acquiring, processing, storing and transmitting sensor data. The motes commercial...
Martin Leopold, Marcus Chang, Philippe Bonnet
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
IJCNN
2006
IEEE
14 years 4 months ago
Support Vector Machines to Weight Voters in a Voting System of Entity Extractors
—Support Vector Machines are used to combine the outputs of multiple entity extractors, thus creating a composite entity extraction system. The composite system has a significant...
Deborah Duong, James Venuto, Ben Goertzel, Ryan Ri...