Results 251 to 260 of about 4,200 (297)

Neurosymbolic AI Framework for Explainable Retinal Disease Classification From OCT Images. [PDF]

open access: yesTransl Vis Sci Technol
Miladinovic A   +6 more
europepmc   +1 more source

Extending the boundaries of care: Collaboratively planning connections between rehabilitation and community resources for chronic pain self-management. [PDF]

open access: yesCan J Pain
George NC   +8 more
europepmc   +1 more source

A Comparative Study of Three Neural-Symbolic Approaches to Inductive Logic Programming [PDF]

open access: yesLecture Notes in Computer Science, 2022
An interesting feature that traditional approaches to inductive logic programming are missing is the ability to treat noisy and non-logical data. Neural-symbolic approaches to inductive logic programming have been recently proposed to combine the ...
Federico Bergenti   +2 more
exaly   +2 more sources

Inductive Synthesis of Logic Programs and Inductive Logic Programming

1994
Inductive Logic Programming deals with the problem of generating logic programs from examples, normally given as ground atoms. We briefly survey older methods (Shapiro’s MIS and Plotkin’s least general generalizations) which have set the foundations of the field and inspired more recent top-down and bottom-up approaches, respectively.
Francesco Bergadano, Daniele Gunetti
openaire   +1 more source

Phonotactics in Inductive Logic Programming

2004
We examine the results of applying inductive logic programming (ILP) to a relatively simple linguistic task, that of recognizing monosyllables in one language. ILP is suited to linguistic problems given linguists' preference for formulating their theories in discrete rules, and because of ILP's ability to incorporate various background theories. But it
Nerbonne, J., Konstantopoulos, S.
openaire   +2 more sources

Inductive Logic Programming: Challenges

Proceedings of the AAAI Conference on Artificial Intelligence, 2016
An overview of notable ILP areas, focusing on three invited talks at ILP 2015, two best student papers and the panel discussion on "ILP 25 Years".
Katsumi Inoue   +2 more
openaire   +1 more source

Inductive logic programming and learnability

ACM SIGART Bulletin, 1994
The paper gives an overview of theoretical results in the rapidly growing field of inductive logic programming (ILP). The ILP learning situation (generality model, background knowledge, examples, hypotheses) is formally characterized and various restrictions of it are discussed in the light of their impact on learnability.
Jörg-Uwe Kietz, Saso Dzeroski
openaire   +1 more source

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