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Robot Learning
Author: Suraiya Jabin
language: en
Publisher: BoD – Books on Demand
Release Date: 2010-08-12
Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields. Salient features: - Comprehensive coverage of Evolutionary Techniques, Reinforcement Learning and Uncertainty. - Precise mathematical language used without excessive formalism and abstraction. - Included applications demonstrate the utility of the subject in terms of real-world problems. - A separate chapter on Anticipatory-mechanisms-of-human-sensory-motor-coordination and biped locomotion. - Collection of most recent research on Robot Learning.
Wav-el, Fish, and the Spookies
Author: Vivienne Thompson Clements
language: en
Publisher: Christian Faith Publishing, Inc.
Release Date: 2024-03-16
Wav-el loves his ocean friends and especially his best friend, Fish. He'll do whatever he can to protect them from harmful pollution that people, who he calls the Feet, cause to the water. He has seen the danger many times that his friends have come into by getting hit by the trash thrown into the water, and other times his friends got tangled up in plastics, bottles, and cans causing damage to their fins, and they wouldn't be able to swim, and the entrapments keep them away from their families. Wav-el keeps watch over the ocean all the time making sure that the water stays safe for his friends.
Perception-Based Data Processing in Acoustics
Author: Bozena Kostek
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-08-19
This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.