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» Learning Functions from Imperfect Positive Data
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IJCNN
2006
IEEE
14 years 2 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 9 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
UAI
2000
13 years 10 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
BMCBI
2008
149views more  BMCBI 2008»
13 years 9 months ago
Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment s
Background: Confidence in pairwise alignments of biological sequences, obtained by various methods such as Blast or Smith-Waterman, is critical for automatic analyses of genomic d...
Olivier Bastien, Eric Maréchal
ISBI
2006
IEEE
14 years 9 months ago
Development of a research interface for image guided intervention: initial application to epilepsy neurosurgery
This paper describes the development and application of methods to integrate research image analysis methods and software with a commercial image guided surgery navigation system ...
Xenophon Papademetris, Kenneth P. Vives, Marcello ...