A novel inductive logic programming system, called Classic'cl is presented. Classic'cl integrates several settings for learning, in particular learning from interpretations and learning from satisfiability. Within these settings, it addresses descriptive and probabilistic modeling tasks. As such, Classic'cl (C-armr, cLAudien, icl-S(S)at, ICI, and CLI-pad) integrates several well-known inductive logic programming systems such as Claudien, Warmr (and its extension C-armr), ICL, ICL-SAT, and LLPAD. We report on the implementation, the integration issues as well as on some experiments that compare Classic'cl with some of its predecessors.status: publishe
Inductive Logic Progrdng (ILP) involves the construction of first-order definite clause theories fro...
Abstract A new research area, Inductive Logic Programming, is presently emerging. While inheriting v...
Inductive Logic Programming (ILP) is an area of Machine Learning which has now reached its twentieth...
Abstract. A novel inductive logic programming system, called Classic’cl is presented. Classic’cl int...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algori...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Progr...
The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 year...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Inductive Logic Progrdng (ILP) involves the construction of first-order definite clause theories fro...
Abstract A new research area, Inductive Logic Programming, is presently emerging. While inheriting v...
Inductive Logic Programming (ILP) is an area of Machine Learning which has now reached its twentieth...
Abstract. A novel inductive logic programming system, called Classic’cl is presented. Classic’cl int...
Inductive logic programming (ILP) is a form of machine learning. The goal of ILP is to induce a hypo...
Inductive Logic Programming (ILP) is a subfield of Machine Learning with foundations in logic progra...
Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a...
The current paper presents a brief overview of Inductive logic programming (ILP) systems. ILP algori...
Inductive logic programming (ILP) is built on a foundation laid by research in machine learning and ...
Inductive Logic Programming (ILP) is a new discipline which investigates the inductive construction ...
AbstractInductive Logic Programming (ILP) is the area of AI which deals with the induction of hypoth...
. This paper provides a brief introduction and overview of the emerging area of Inductive Constrain...
Inductive Logic Programming (ILP) is a field at the intersection of Machine Learning and Logic Progr...
The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 year...
We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing ...
Inductive Logic Progrdng (ILP) involves the construction of first-order definite clause theories fro...
Abstract A new research area, Inductive Logic Programming, is presently emerging. While inheriting v...
Inductive Logic Programming (ILP) is an area of Machine Learning which has now reached its twentieth...