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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 8 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
WSC
2008
15 years 6 months ago
Simulation-based optimization of a complex mail transportation network
The Swedish Postal Services receives and distributes over 22 million pieces of mail every day. Mail transportation takes place overnight by airplanes, trains, trucks, and cars in ...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Martin And...
VMV
2003
145views Visualization» more  VMV 2003»
15 years 5 months ago
Interactive Volume Visualization of Complex Flow Semantics
Comprehending results from 3D CFD simulation is a difficult task. In this paper, we present a semantics-based approach to featurebased volume rendering of 3D flow data. We make ...
Helwig Hauser, Matej Mlejnek
CAISE
2010
Springer
15 years 5 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
JMLR
2010
136views more  JMLR 2010»
14 years 11 months ago
Reducing Label Complexity by Learning From Bags
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
Sivan Sabato, Nathan Srebro, Naftali Tishby