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BMCBI
2011
14 years 10 months ago
Robust joint analysis allowing for model uncertainty in two-stage genetic association studies
Background: The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex di...
Dongdong Pan, Qizhai Li, Ningning Jiang, Aiyi Liu,...
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 9 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
ICAC
2006
IEEE
16 years 22 days ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
ICML
2007
IEEE
16 years 7 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
WSC
1997
15 years 8 months ago
Automating the Metamodeling Process
Model abstraction using metamodeling has demonstrated the capability to facilitate software reuse, large scale model integration, verification, and validation. Once restricted to...
Don Caughlin