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AAAI
2006
13 years 9 months ago
Real-Time Evolution of Neural Networks in the NERO Video Game
A major goal for AI is to allow users to interact with agents that learn in real time, making new kinds of interactive simulations, training applications, and digital entertainmen...
Kenneth O. Stanley, Bobby D. Bryant, Igor Karpov, ...
ICML
2007
IEEE
14 years 8 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
NCA
2010
IEEE
13 years 6 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
MOBICOM
2006
ACM
14 years 1 months ago
The design, deployment, and analysis of signetLab: a sensor network testbed and interactive management tool
Abstract-The emergence of small, inexpensive, networkcapable sensing devices led to a great deal of research on the design and implementation of sensor networks. A critical step in...
Riccardo Crepaldi, Simone Friso, Albert F. Harris ...
ICMLA
2009
13 years 5 months ago
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli