The main operations in Inductive Logic Programming (ILP) are generalization and specialization, which only make sense in a generality order. In ILP, the three most impor-tant generality orders are subsumption, implication and implication relative to background knowledge. The two languages used most often are languages of clauses and languages of only Horn clauses. This gives a total of six dierent ordered languages. In this paper, we give a systematic treatment of the existence or non-existence of least generalizations and greatest specializations of nite sets of clauses in each of these six ordered sets. We survey results already obtained by others and also contribute some answers of our own. Our main new results are, rstly, the existence...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
AbstractAbsorption is one of the so-called inverse resolution operators of Inductive Logic Programmi...
A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like pro...
The main operations in Inductive Logic Programming (ILP) are generalization and specialization, whic...
textabstractThe main operations in Inductive Logic Programming (ILP) are generalization and speciali...
The main operations in Inductive Logic Programming (ILP) are generalization and specialization, whic...
This paper discusses the generalization of definite Horn programs beyond the ordering of logical imp...
Abstract. One of the most prominent approaches in Inductive Logic Programming is the use of least ge...
In the area of inductive learning, generalization is a main operation, and the usual de nition of in...
Generalization is a fundamental operation of inductive inference. While first order syntactic genera...
. The present paper discusses a generalization operator based on the -subsumption ordering between H...
The field of Inductive Logic Programming (ILP) is concerned with inducing logic pr~ grams from examp...
AbstractRecently there has been an increasing amount of research on learning concepts expressed in s...
Abstract. This paper studies generality relations on logic programs. Intuitively, a program P1 is mo...
We propose a simple extension to Popplestone and Plotkin's concept of Least General Generalizat...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
AbstractAbsorption is one of the so-called inverse resolution operators of Inductive Logic Programmi...
A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like pro...
The main operations in Inductive Logic Programming (ILP) are generalization and specialization, whic...
textabstractThe main operations in Inductive Logic Programming (ILP) are generalization and speciali...
The main operations in Inductive Logic Programming (ILP) are generalization and specialization, whic...
This paper discusses the generalization of definite Horn programs beyond the ordering of logical imp...
Abstract. One of the most prominent approaches in Inductive Logic Programming is the use of least ge...
In the area of inductive learning, generalization is a main operation, and the usual de nition of in...
Generalization is a fundamental operation of inductive inference. While first order syntactic genera...
. The present paper discusses a generalization operator based on the -subsumption ordering between H...
The field of Inductive Logic Programming (ILP) is concerned with inducing logic pr~ grams from examp...
AbstractRecently there has been an increasing amount of research on learning concepts expressed in s...
Abstract. This paper studies generality relations on logic programs. Intuitively, a program P1 is mo...
We propose a simple extension to Popplestone and Plotkin's concept of Least General Generalizat...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
AbstractAbsorption is one of the so-called inverse resolution operators of Inductive Logic Programmi...
A proof-theoretic characterization of logical languages that form suitable bases for Prolog-like pro...