Foundations of the Theory of Learning Systems (Enhanced Edition)
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- $69.99
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- $69.99
Publisher Description
When we talk about learning, we always have in mind the existence of
a certain goal that has to be reached through the learning process. Very
often this goal of learning cannot be specified explicitly due to insufficient
a priori information. In other words, the goal of learning is not completely
defined. In the opposite case, that is, when the goal of learning is given in
an explicit form, there is no need for learning since such a goal can be
reached without any learning, for instance, by designing the system in
advance. The characteristic feature of learning is that the lack of a priori
information, that is, incomplete definition of the goal of learning, is compensated
by necessary processing of current information.
Adaptive, Learning, and Pattern Recognition Systems; theory and applications
1970
Implementation Techniques (Enhanced Edition)
1998
System Identification (Enhanced Edition)
1971
Computer-Oriented Approaches to Pattern Recognition
1972
Algorithms and Architectures
1998
Dynamic System Identification: Experiment Design and Data Analysis
1977