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SIGIR
2008
ACM
14 years 11 months ago
Semi-supervised spam filtering: does it work?
The results of the 2006 ECML/PKDD Discovery Challenge suggest that semi-supervised learning methods work well for spam filtering when the source of available labeled examples diff...
Mona Mojdeh, Gordon V. Cormack
BMCBI
2008
130views more  BMCBI 2008»
14 years 12 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
CORR
2010
Springer
166views Education» more  CORR 2010»
14 years 12 months ago
A CHAID Based Performance Prediction Model in Educational Data Mining
The performance in higher secondary school education in India is a turning point in the academic lives of all students. As this academic performance is influenced by many factors,...
M. Ramaswami, R. Bhaskaran
ML
2006
ACM
121views Machine Learning» more  ML 2006»
14 years 11 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
TOG
2012
184views Communications» more  TOG 2012»
13 years 2 months ago
Point sampling with general noise spectrum
Point samples with different spectral noise properties (often defined using color names such as white, blue, green, and red) are important for many science and engineering discip...
Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang