نتایج جستجو برای: ilp assessment

تعداد نتایج: 563733  

2007
Paolo Frasconi

• Complementary advantages • logic can represent domain knowledge in a natural and expressive way • inductive logic programming (ILP) can generate theories and explanations • probabilities allow us to deal with uncertainty and noise in the data • Fixed unknown density ρ on X × Y • The optimal decision would be ρ(Y = 1|x) > 0.5 • Generative direction: model the class conditional densities p(x|y)...

2015
Ashis Gopal Banerjee Nicholas Roy

It is challenging to obtain online solutions of large-scale integer linear programming (ILP) problems that occur frequently in slightly different forms during planning for autonomous systems. We refer to such ILP problems as repeated ILP problems. The branch-and-bound (BAB) algorithm is commonly used to solve ILP problems, and a significant amount of computation time is expended in solving nume...

2002
Jörg-Uwe Kietz

Carin-ALN as proposed recently by Rouveirol and Ventos [2000] is an interesting new rule learning bias for ILP. By allowing description logic terms as predicates of literals in datalog rules, it extends the normal bias used in ILP as it allows the use of all quantified variables in the body of a clause, instead of the normal exist quantified variables and it has atleast and atmost restrictions ...

2010
Luc Dehaspe Hannu Toivonen

Discovery of frequent patterns has been studied in a variety of data mining (DM) settings. In its simplest form, known from association rule mining, the task is to nd all frequent itemsets, i.e., to list all combinations of items that are found in a suucient number of examples. A similar task in spirit, but at the opposite end of the complexity scale, is the Inductive Logic Programming (ILP) ap...

Journal: :CoRR 2003
Stasinos Konstantopoulos

This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or distributed machine. The paper briefly discusses the MPI specification and the extension of Yap Prolog with an interface to MPI libraries. It then proceeds to describe an implementation of data-parallel clause evaluatio...

Journal: :International journal of cancer 2013
Timo L M Ten Hagen Ann L B Seynhaeve Gisela aan de Wiel-Ambagtsheer Ernst A de Bruijn Sandra T van Tiel Curzio Ruegg Michael Meyring Matthias Grell Simon L Goodman Alexander M M Eggermont

Isolated limb perfusion (ILP) with melphalan and tumor necrosis factor (TNF)-α is used to treat bulky, locally advanced melanoma and sarcoma. However, TNF toxicity suggests a need for better-tolerated drugs. Cilengitide (EMD 121974), a novel cyclic inhibitor of alpha-V integrins, has both anti-angiogenic and direct anti-tumor effects and is a possible alternative to TNF in ILP. In this study, r...

Journal: :Logic Journal of the IGPL 1996
Luc De Raedt Nada Lavrac

Inductive logic programming (ILP) is a research area which has its roots in inductive machine learning and computational logic. The paper gives an introduction to this area based on a distinction between two diierent semantics used in inductive logic programming, and illustrates their application in knowledge discovery and programming. Whereas most research in inductive logic programming has fo...

2003
Ratthachat Chatpatanasiri Boonserm Kijsirikul

Inductive Logic Programming (ILP) is an efficient technique for relational data mining, but when ILP is applied in imperfect domains, the rules induced by ILP often struggle with the overfitting problem. This paper proposes a method to learn first-order Bayesian network (FOBN) which can handle imperfect data powerfully. Due to a high computation cost for directly learning FOBN, we adapt an ILP ...

Journal: :Journal of Artificial Intelligence Research 2022

Inductive logic programming (ILP) is a form of machine learning. The goal ILP to induce hypothesis (a set logical rules) that generalises training examples. As turns 30, we provide new introduction the field. We introduce necessary notation and main learning settings; describe building blocks an system; compare several systems on dimensions; four (Aleph, TILDE, ASPAL, Metagol); highlight key ap...

1998
Stephen Muggleton

Inductive Logic Programming (ILP) [9, 11] is the area of AI which deals with the induction of hypothesised predicate definitions from examples and background knowledge. Logic programs are used as a single representation for examples, background knowledge and hypotheses. ILP is differentiated from most other forms of Machine Learning (ML) both by its use of an expressive representation language ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید