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» The changing science of machine learning
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AAMAS
2004
Springer
13 years 8 months ago
Functional Validation in Grid Computing
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
Guofei Jiang, George Cybenko
SOCIALCOM
2010
13 years 6 months ago
A Methodology for Integrating Network Theory and Topic Modeling and its Application to Innovation Diffusion
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...
Jana Diesner, Kathleen M. Carley
CISIS
2011
IEEE
12 years 9 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...

Book
1331views
15 years 8 months ago
Spatial Reasoning: Theory and Practice
"Spatial structures and spatial reasoning are essential to perception and cognition. Much day-to-day practical information is about what happens at certain spatial locations....
M. Aiello
GECCO
2009
Springer
200views Optimization» more  GECCO 2009»
14 years 3 months ago
Optimization of the trading rule in foreign exchange using genetic algorithm
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...