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First Order Inductive Learner

Known as: Foil 
In machine learning, First Order Inductive Learner (FOIL) is a rule-based learning algorithm.
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Related topics

Related topics

10 relations
Explanation-based learningHorn clauseID3 algorithmInformation theory

Broader (1)

Inductive logic programming

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Structured Knowledge and Kernel-based Learning: the case of Grounded Spoken Language Learning in Interactive Robotics
Recent results achieved by statistical approaches involving Deep Neural Learning architectures suggest that semantic inference… 
Review
2014
Review
2014
Running head : Live showups and video lineups Live showups and their influence on a subsequent video lineup
A live showup (known as a street identification in the UK) allows the perpetrator to be identified shortly after a street crime… 
2012
2012
Enhancement of associative rule based FOIL and PRM algorithms
Classification is one of the important problems in Data Mining. There are various methods of classification available like Rule… 
2011
2011
Potential production of volatile oil content in foil and the menthol mint (Mentha piperita L.) under the influence of fertilization in conditions in the Lovrin.
Mint is one of the oldest herbs known. Mint is an herb well known for its medicinal properties, but also for refreshing flavor… 
2011
2011
Learning Logic Rules for the Tower of Knowledge Using Markov Logic Networks
In this paper, we propose a novel logic-rule learning approach for the Tower of Knowledge (ToK) architecture, based on Markov… 
2011
2011
The effect of intermediate concepts in hierarchical relational learning
The DARPA Bootstrapped Learning project uses relational learners to ladder concepts together to teach a final concept… 
Review
2011
Review
2011
A framework for combining logical and probabilistic models
Integrating the expressive power of first-order logic with the probabilistic reasoning power of Bayesian networks has attracted… 
2009
2009
Attosecond Transient Absorption of High Order Harmonics in Helium
Recently, it was demonstrated that the probability of ionization of He atoms with XUV photons close to the threshold can be… 
2006
2006
Boosting Descriptive ILP for Predictive Learning
Inductive Logic Programming has been very successful in application to multirelational predictive tasks. Sophisticated predictive… 
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