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Inside this Book – This paper provides an overview of the topic Inductiv Logic Program- ming (ILP). It contains an introduction to define a frame of the topic in general and will furthermore provide a deeper insight into the implemen- tations of two ILP-algorithms, the First-Order Inductive Learner (FOIL) and the Inverse Resolution. ILP belongs to the group of classifiers, but also differs from them, because it uses the first-order logic. The paper explains what ILP is, how it works and some approaches related to it. Additionally an example shall provide a deeper understanding and show ILPs ability for recursion.
Inside this book –Inductive Logic Programming Theory and Methods PDF Book by Stephen Muggleton – A lot of challenges today can be solved by computers. One challenge is the clas- sification of data into classes and sub-classes. These challenges can be solved by algorithms, that need a database as background knowledge, to identify the categories and are then able to classify to which of these categories a new obser- vation belongs. A machine learning algorithm, who’s task is to map input data to a category is known as classifier.
Inductive Logic Programming Theory and Methods by Stephen Muggleton PDF : eBook Information
- Full Book Name – Inductive Logic Programming Theory and Methods
- Author of this Book – Stephen Muggleton
- Language – English
- Book Genre –Machine Learning, Artificial Intelligence, Computer Science, Programming, Computers & Internet
- Download Format – PDF
- Size – 3.8 MB
- eBook Pages –51
- Price – Free