By Francesco Bergadano
ISBN-10: 0262023938
ISBN-13: 9780262023931
Although Inductive good judgment Programming (ILP) is usually regarded as a learn area
at the intersection of computer studying and computational common sense, Bergadano and Gunetti suggest that
most of the learn in ILP has in reality come from computer studying, relatively within the evolution of
inductive reasoning from trend attractiveness, via preliminary methods to symbolic machine
learning, to contemporary thoughts for studying relational ideas. during this booklet they supply an
extended, updated survey of ILP, emphasizing equipment and structures compatible for software
engineering purposes, together with inductive software improvement, checking out, and
maintenance.Inductive good judgment Programming encompasses a definition of the elemental ILP challenge and its
variations (incremental, with queries, for a number of predicates and predicate invention
capabilities), an outline of bottom-up operators and methods (such as least general
generalization, inverse answer, and inverse implication), an research of top-down methods
(mainly MIS and FOIL-like systems), and a survey of equipment and languages for specifying inductive
bias.Logic Programming series
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Inductive Logic Programming: From Machine Learning to Software Engineering (Logic Programming) by Francesco Bergadano
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