Supervised Learning Perspective in Logic Mining

Data Mining: Classification/Supervised Learning Potpourri Contents

Indirect Supervised Learning of Strategic Generation Logic

Indirect Supervised Learning of Strategic Generation Logic

Supervised Learning of Fuzzy Logic Systems

Conventionally modelling and simulation of complex nonlinear systems has been to construct a mathematical model and examine the system’s evolution or its control. This kind of approach can fail for many of the very large non-linear and complex systems being currently studied. With the invention of new advanced high-speed computers and the application of artificial intelligence paradigms new tec...

Learning in Clausal Logic: A Perspective on Inductive Logic Programming

Inductive logic programming is a form of machine learning from examples which employs the representation formalism of clausal logic. One of the earliest inductive logic programming systems was Ehud Shapiro’s Model Inference System [90], which could synthesise simple recursive programs like append/3. Many of the techniques devised by Shapiro, such as top-down search of program clauses by refinem...

Combined Supervised and Unsupervised Learning in Genomic Data Mining

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