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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 11 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ATAL
2006
Springer
15 years 10 months ago
Accident or intention: that is the question (in the Noisy Iterated Prisoner's Dilemma)
This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated Prisoner's Dilemma (IPD) in which there is a nonzero probability that a "coop...
Tsz-Chiu Au, Dana S. Nau
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 8 months ago
Active Mining of Data Streams
Most previously proposed mining methods on data streams make an unrealistic assumption that "labelled" data stream is readily available and can be mined at anytime. Howe...
Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu
BMCBI
2010
106views more  BMCBI 2010»
15 years 6 months ago
TumorBoost: Normalization of allele-specific tumor copy numbers from a single pair of tumor-normal genotyping microarrays
Background: High-throughput genotyping microarrays assess both total DNA copy number and allelic composition, which makes them a tool of choice for copy number studies in cancer, ...
Henrik Bengtsson, Pierre Neuvial, Terence P. Speed
JSA
2008
108views more  JSA 2008»
15 years 6 months ago
A methodology to design arbitrary failure detectors for distributed protocols
Nowadays, there are many protocols able to cope with process crashes, but, unfortunately, a process crash represents only a particular faulty behavior. Handling tougher failures (...
Roberto Baldoni, Jean-Michel Hélary, Sara T...