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» Temporal Data Classification Using Linear Classifiers
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CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 7 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany
IDA
2006
Springer
13 years 7 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire
JGS
2002
78views more  JGS 2002»
13 years 7 months ago
Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the tran...
Mark L. Wilson
ACMACE
2008
ACM
13 years 9 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
ECAI
2006
Springer
13 years 11 months ago
Automatic Term Categorization by Extracting Knowledge from the Web
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...