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» Bayesian Network Based XP Process Modelling
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IJON
2007
91views more  IJON 2007»
15 years 6 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
JGO
2010
117views more  JGO 2010»
15 years 4 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
IJCAI
1989
15 years 7 months ago
Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
David Handelman, Stephen Lane, Jack Gelfand
WSNA
2003
ACM
15 years 11 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
NC
1998
170views Neural Networks» more  NC 1998»
15 years 7 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka