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COOPIS
2004
IEEE
15 years 10 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
FMOODS
2007
15 years 7 months ago
A Probabilistic Formal Analysis Approach to Cross Layer Optimization in Distributed Embedded Systems
We present a novel approach, based on probabilistic formal methods, to developing cross-layer resource optimization policies for resource limited distributed systems. One objective...
Minyoung Kim, Mark-Oliver Stehr, Carolyn L. Talcot...
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 6 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
POPL
2012
ACM
14 years 1 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...
ENTCS
2007
108views more  ENTCS 2007»
15 years 6 months ago
Termination Criteria for DPO Transformations with Injective Matches
Reasoning about graph and model transformation systems is an important means to underpin model-driven software engineering, such as Model-Driven Architecture (MDA) and Model Integ...
Tihamer Levendovszky, Ulrike Prange, Hartmut Ehrig