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» Recovering Data Models via Guarded Dependences
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SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
11 years 10 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
MCM
2011
13 years 2 months ago
The shape of the polymerization rate in the prion equation
We consider a polymerization (fragmentation) model with size-dependent parameters involved in prion proliferation. Using power laws for the different rates of this model, we reco...
Pierre Gabriel
ECOOP
2006
Springer
13 years 11 months ago
Demeter Interfaces: Adaptive Programming Without Surprises
Adaptive Programming (AP) allows for the separate definition of data structures and traversals with attached computations, performed during the traversal, that operate on these dat...
Therapon Skotiniotis, Jeffrey Palm, Karl J. Lieber...
IPPS
2003
IEEE
14 years 25 days ago
GCA: A Massively Parallel Model
We had introduced the massively parallel global cellular automata (GCA) model. Parallel algorithms derived from applications can be mapped straight forward onto this model. In thi...
Rolf Hoffmann, Klaus-Peter Völkmann, Wolfgang...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 11 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard