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Book
498views
16 years 11 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
96
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ICRA
2002
IEEE
148views Robotics» more  ICRA 2002»
15 years 5 months ago
A Neural Approach to Adaptive Behavior and Multi-Sensor Action Selection in a Mobile Device
Sampling multisensory information and taking the appropriate motor action is critical for a biological organism’s survival, but a difficult task for robots. We present a Neurally...
Jeffrey L. Krichmar, James A. Snook
BPSC
2010
194views Business» more  BPSC 2010»
14 years 11 months ago
Ad-hoc Management Capabilities for Distributed Business Processes
: Advanced business processes are mostly distributed and require highly flexible management capabilities. In such scenarios, process parts often leave their initiator’s direct sp...
Sonja Zaplata, Dirk Bade, Kristof Hamann, Winfried...
120
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IWANN
2001
Springer
15 years 5 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
111
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GECCO
2004
Springer
15 years 6 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