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498views
16 years 10 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
SASO
2007
IEEE
15 years 6 months ago
Adaptive Self-optimization in Distributed Dynamic Environments
Grid and ubiquitous computing systems generally consist of a large number of networked nodes with applications implemented as distributed services or processes, respectively. A cr...
Wolfgang Trumler, Andreas Pietzowski, Benjamin Sat...
GECCO
2004
Springer
15 years 5 months ago
Evolved Motor Primitives and Sequences in a Hierarchical Recurrent Neural Network
This study describes how complex goal-directed behavior can evolve in a hierarchically organized recurrent neural network controlling a simulated Khepera robot. Different types of ...
Rainer W. Paine, Jun Tani
ICANN
2010
Springer
15 years 23 days ago
Exploring Continuous Action Spaces with Diffusion Trees for Reinforcement Learning
We propose a new approach for reinforcement learning in problems with continuous actions. Actions are sampled by means of a diffusion tree, which generates samples in the continuou...
Christian Vollmer, Erik Schaffernicht, Horst-Micha...
SPIESR
1993
125views Database» more  SPIESR 1993»
15 years 1 months ago
Self-Aligning and Compressed Autosophy Video Databases
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Klaus Holtz