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» Variability Models Must Not be Invariant!
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BIB
2010
89views more  BIB 2010»
13 years 6 months ago
Knowledge-based data analysis comes of age
The emergence of high-throughput technologies for measuring biological systems has introduced problems for data interpretation that must be addressed for proper inference. First, ...
Michael F. Ochs
CORR
2009
Springer
242views Education» more  CORR 2009»
13 years 5 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
DIS
2009
Springer
14 years 2 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
ICCS
2004
Springer
14 years 1 months ago
Adaptive Coupled Physical and Biogeochemical Ocean Predictions: A Conceptual Basis
Abstract. Physical and biogeochemical ocean dynamics can be intermittent and highly variable, and involve interactions on multiple scales. In general, the oceanic fields, processe...
Pierre F. J. Lermusiaux, Constantinos Evangelinos,...
IDA
2003
Springer
14 years 25 days ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu