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CSDA
2010
165views more  CSDA 2010»
14 years 12 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
ML
2008
ACM
14 years 11 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
ECRTS
2009
IEEE
14 years 9 months ago
Using Randomized Caches in Probabilistic Real-Time Systems
While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access p...
Eduardo Quiñones, Emery D. Berger, Guillem ...
ICDAR
2009
IEEE
14 years 9 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 6 days ago
Fastanova: an efficient algorithm for genome-wide association study
Studying the association between quantitative phenotype (such as height or weight) and single nucleotide polymorphisms (SNPs) is an important problem in biology. To understand und...
Xiang Zhang, Fei Zou, Wei Wang 0010