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NIPS
1992
15 years 8 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
CEC
2010
IEEE
15 years 8 months ago
Principles of protein processing for a self-organising associative memory
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempes...
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 8 months ago
Experiments with indexed FOR-loops in genetic programming
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Gayan Wijesinghe, Victor Ciesielski
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
15 years 8 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
ICASSP
2010
IEEE
15 years 7 months ago
Reconstructing the full tongue contour from EMA/X-ray microbeam
Existing large-scale articulatory databases describe the tongue shape through the 2D positions of 3–4 fixed landmarks on the tongue surface. The ability to reconstruct the full...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
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