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BMCBI
2008
138views more  BMCBI 2008»
14 years 9 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
EUROS
2008
113views Robotics» more  EUROS 2008»
14 years 11 months ago
Measuring Motion Expressiveness in Wheeled Mobile Robots
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
João Sequeira
91
Voted
IAT
2008
IEEE
14 years 9 months ago
Planning with iFALCON: Towards A Neural-Network-Based BDI Agent Architecture
This paper presents iFALCON, a model of BDI (beliefdesire-intention) agents that is fully realized as a selforganizing neural network architecture. Based on multichannel network m...
Budhitama Subagdja, Ah-Hwee Tan
BMCBI
2005
126views more  BMCBI 2005»
14 years 9 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
EDUTAINMENT
2006
Springer
15 years 1 months ago
Computer-Assisted Teaching in Class Situation: A High-School Math Lab on Vectors
This paper presents our design and experiment of a computer-assisted class laboratory on vectors in high-school. Our main goal is to improve the acquisition on notions by all pupi...
Maud Marchal, Peggy Provent, Frederic Ruyer, Pirou...