|
Showing 1 - 4 of
4 matches in All Departments
|
Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings (Paperback, 1st ed. 2020)
Ting Hu, Nuno Lourenco, Eric Medvet, Federico Divina
|
R1,473
Discovery Miles 14 730
|
Ships in 10 - 15 working days
|
This book constitutes the refereed proceedings of the 23rd European
Conference on Genetic Programming, EuroGP 2020, held as part of
Evo*2020, in Seville, Spain, in April 2020, co-located with the
Evo*2020 events EvoCOP, EvoMUSART and EvoApplications. The 12 full
papers and 6 short papers presented in this book were carefully
reviewed and selected from 36 submissions. The papers cover a wide
spectrum of topics, including designing GP algorithms for ensemble
learning, comparing GP with popular machine learning algorithms,
customising GP algorithms for more explainable AI applications to
real-world problems.
Learning from examples in First Order Logic, also known as
Inductive Logic Programming (ILP), constitutes a central topic in
Machine Learning, with relevant applications to problems in complex
domains, e.g., natural language and computational biology. Learning
can be viewed as a search problem in the space of all possible
hypotheses. Given a background knowledge, a set of positive
examples and a set of negative examples, expressed in First Order
Logic, one has to find a hypothesis which covers all positive
examples and none of the negative ones. This problem is NP-hard
even if the language to represent hypotheses is propositional
logic. When FOL hypotheses are used, this complexity is combined
with the complexity of evaluating hypotheses. This book describes
an evolutionary algorithm for ILP. The algorithm, called ECL (for
Evolutionary Concept Learner), evolves a population of Horn clauses
by repeated selection, mutation and optimization of more fit
clauses. ECL relies on four greedy mutation operators for searching
the hypothesis space, and employs an optimization phase that
follows each mutation. Experimental results show that ECL works
well in practice.
|
You may like...
The Familiar
Leigh Bardugo
Hardcover
R585
R457
Discovery Miles 4 570
|