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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
14 years 11 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
SOCO
2008
Springer
13 years 10 months ago
Compositional Modeling for Data-Centric Business Applications
Data-centric business applications comprise an important class of distributed systems that includes on-line stores, document management systems, and patient portals. However, their...
Ethan K. Jackson, Wolfram Schulte
ICML
2006
IEEE
14 years 11 months ago
Efficient learning of Naive Bayes classifiers under class-conditional classification noise
We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
Christophe Nicolas Magnan, François Denis, ...
ICML
2003
IEEE
14 years 11 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
COLT
2004
Springer
14 years 4 months ago
An Inequality for Nearly Log-Concave Distributions with Applications to Learning
Abstract— We prove that given a nearly log-concave distribution, in any partition of the space to two well separated sets, the measure of the points that do not belong to these s...
Constantine Caramanis, Shie Mannor