The field of Inductive Logic Programming (ILP) is concerned with inducing logic pr~ grams from examples in the presence of back-ground knowledge. This paper defines the ILP problem, and describes the various syntactic restrictions that are commonly used for learn-ing first-order representations. We then de-rive some ~ositive results concerning the learn-ability of these restricted classes of lo~ic pro-gram;, by reduction to a standard ~roposi-tional learning problem. More specifically, k-clause predicate definitions consisting of de-terminate, function-free, non-recursive Horn clauses with variables of bounded det)th are polynomially learnable under simple distribu-tions. Similarly, recursive k-clause definitions are polynomially learnable ...
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First O...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
The efficient learnability of restricted classes of logic programs is studied in the PAC framework o...
AbstractRecently there has been an increasing amount of research on learning concepts expressed in s...
We present algorithms that learn certain classes of function-free recursive logic programs in polyno...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
AbstractThe efficient learnability of restricted classes of logic programs is studied in the PAC fra...
In a companion paper it was shown that the class of constant-depth determinate k-ary recursive claus...
We developed and implemented an inductive logic programming system and the first order classifier, c...
In this paper we investigate the efficiency of `-- subsumption (` ` ), the basic provability relati...
Inductive Logic Programming (ILP) is a form of machine learning. It is an approach to machine learni...
We present positive PAC-learning results for the nonmonotonic inductive logic programming setting. I...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
Inductive Logic Programming (ILP) is concerned with learning hypotheses from examples, where both ex...
. Inductive Logic Programming is mainly concerned with the problem of learning concept definitions ...
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First O...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
The efficient learnability of restricted classes of logic programs is studied in the PAC framework o...
AbstractRecently there has been an increasing amount of research on learning concepts expressed in s...
We present algorithms that learn certain classes of function-free recursive logic programs in polyno...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
AbstractThe efficient learnability of restricted classes of logic programs is studied in the PAC fra...
In a companion paper it was shown that the class of constant-depth determinate k-ary recursive claus...
We developed and implemented an inductive logic programming system and the first order classifier, c...
In this paper we investigate the efficiency of `-- subsumption (` ` ), the basic provability relati...
Inductive Logic Programming (ILP) is a form of machine learning. It is an approach to machine learni...
We present positive PAC-learning results for the nonmonotonic inductive logic programming setting. I...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
Inductive Logic Programming (ILP) is concerned with learning hypotheses from examples, where both ex...
. Inductive Logic Programming is mainly concerned with the problem of learning concept definitions ...
A number of Inductive Logic Programming (ILP) systems have addressed the problem of learning First O...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
The efficient learnability of restricted classes of logic programs is studied in the PAC framework o...