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NIPS
2004
13 years 11 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
CSDA
2010
165views more  CSDA 2010»
13 years 10 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
JDWM
2007
122views more  JDWM 2007»
13 years 10 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
BMCBI
2004
75views more  BMCBI 2004»
13 years 10 months ago
Structural characterization of genomes by large scale sequence-structure threading
Background: Using sequence-structure threading we have conducted structural characterization of complete proteomes of 37 archaeal, bacterial and eukaryotic organisms (including wo...
Artem Cherkasov, Steven J. M. Jones
ICMCS
2009
IEEE
275views Multimedia» more  ICMCS 2009»
13 years 7 months ago
Video semantic concept detection via associative classification
Associative classification (AC) has been studied in the areas of content-based multimedia retrieval and semantic concept detection due to its high accuracy. The traditional AC alg...
Lin Lin, Mei-Ling Shyu, Guy Ravitz, Shu-Ching Chen