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» Evolving Artificial Neural Networks that Develop in Time
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AIIDE
2009
13 years 8 months ago
Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game
In most modern video games, content (e.g. models, levels, weapons, etc.) shipped with the game is static and unchanging, or at best, randomized within a narrow set of parameters. ...
Erin J. Hastings, Ratan K. Guha, Kenneth O. Stanle...
BMCBI
2007
131views more  BMCBI 2007»
13 years 7 months ago
Prediction of peptides observable by mass spectrometry applied at the experimental set level
Background: When proteins are subjected to proteolytic digestion and analyzed by mass spectrometry using a method such as 2D LC MS/MS, only a portion of the proteotypic peptides a...
William S. Sanders, Susan M. Bridges, Fiona M. McC...
AGI
2008
13 years 8 months ago
Language Processing in Human Brain
Human brain is exceptionally complex and simple at the same time. Its extremely composite biological structure results itself in human everyday behavior that many people might cons...
Alexander Borzenko
TSMC
2002
100views more  TSMC 2002»
13 years 7 months ago
A LP-RR principle-based admission control for a mobile network
Abstract--In mobile networks, the traffic fluctuation is unpredictable due to mobility and varying resource requirement of multimedia applications. Hence, it is essential to mainta...
B. P. Vijay Kumar, P. Venkataram
AI
2010
Springer
13 years 7 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel