Flesh, Foil, and Authenticity: Reflections on Johann AR Roduit’s “Flesh and Foil”

On improving FOIL Algorithm

FOIL is an Inductive Logic Programming Algorithm to discover first order rules to explain the patterns involved in a domain of knowledge. Domains as Information Retrieval or Information Extraction are handicaps for FOIL due to the huge amount of information it needs manage to devise the rules. Current solutions to problems in these domains are restricted to devising ad hoc domain dependent indu...

Flesh Foods

GATA2 deficiency: flesh and blood.

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FOIL Axiomatized

In an earlier paper, [5], I gave semantics and tableau rules for a simple first-order intensional logic called FOIL, in which both objects and intensions are explicitly present and can be quantified over. Intensions, being non-rigid, are represented in FOIL as (partial) functions from states to objects. Scoping machinery, predicate abstraction, is present to disambiguate sentences like that ass...

Integrating Naïve Bayes and FOIL

A novel relational learning approach that tightly integrates the naı̈ve Bayes learning scheme with the inductive logic programming rule-learner FOIL is presented. In contrast to previous combinations that have employed naı̈ve Bayes only for post-processing the rule sets, the presented approach employs the naı̈ve Bayes criterion to guide its search directly. The proposed technique is implemented in...