Results 181 to 190 of about 125,965 (208)

‘If You Thought It Was Going to Make a Difference, You'd Do It Straight Away’: School Staff Decisions to Report to Child Protection

Child &Family Social Work, EarlyView.
ABSTRACT School staff make reports of concern to child protection agencies when they have concerns about child abuse and neglect. This decision has significant consequences for children, parents and communities, and for the data reports generate. Decisions occur within an ecological system context containing external, organisational, case and decision ...
Emily Keddell, Sarah Colhoun, Pauline Norris, Esther Willing   +3 more
wiley   +1 more source

Care Leaving and Social Capital: Reflections on Findings From an Exploratory Intercountry African Study

Child &Family Social Work, EarlyView.
ABSTRACT Theorizing continues to be a challenge within the burgeoning field of care leaving. This article considers whether ‘social capital’ contributes to explaining the care‐leaving experience. Various views of what constitutes social capital are explored, and a three‐category typology is presented.
Kwabena Frimpong‐Manso, John Pinkerton, Berni Kelly, Adrian van Breda   +3 more
wiley   +1 more source

Exploring the lived experience of women with gestational diabetes: A cross‐sectional Irish national survey

Diabetic Medicine, EarlyView.
Abstract Aim Gestational diabetes (GDM) poses risks of short‐ and long‐term complications for mother and infant, emphasising the importance of antenatal and postpartum education and support. We aimed to understand the experiences and views of women with GDM in the Republic of Ireland.
Pauline Dunne, Louise O'Mahony, Linda Culliney, Molly Byrne, Andrew W. Murphy, Sharleen O'Reilly   +5 more
wiley   +1 more source

Applications of inductive logic programming [PDF]

ACM SIGART Bulletin, 1994
Some applications of Inductive Logic Programming (ILP) are presented. Those applications are chosen that specifically benefit from relational descriptions generated by ILP programs, and from ILP's ability to accommodate background knowledge.
Bratko, Ivan, King, Ross D
openaire   +2 more sources

Inductive Synthesis of Logic Programs and Inductive Logic Programming [PDF]

, 1994
Inductive Logic Programming deals with the problem of generating logic programs from examples, normally given as ground atoms. We briefly survey older methods (Shapiro’s MIS and Plotkin’s least general generalizations) which have set the foundations of the field and inspired more recent top-down and bottom-up approaches, respectively.
Francesco Bergadano, Daniele Gunetti
openaire   +1 more source

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Possibilistic Inductive Logic Programming

2005
Learning rules with exceptions may be of interest, especially if the exceptions are not important in some sense. Standard Inductive Logic Programming (ILP) algorithms and classical first order logic are not well-suited for managing rules with exceptions.
Serrurier, Mathieu, Prade, Henri
openaire   +4 more sources

Bayesian Inductive Logic Programming

Proceedings of the seventh annual conference on Computational learning theory - COLT '94, 1994
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learning and Computational Learning Theory, ILP is based on lock-step development of Theory, Implementations and Applications.
openaire   +3 more sources

Inductive logic programming

New Generation Computing, 1991
A new research area, Inductive Logic Programming, is presently emerging. While inheriting various positive characteristics of the parent subjects of Logic Programming and Machine Learning, it is hoped that the new area will overcome many of the limitations of its forebears.
openaire   +2 more sources

Phonotactics in Inductive Logic Programming

2004
We examine the results of applying inductive logic programming (ILP) to a relatively simple linguistic task, that of recognizing monosyllables in one language. ILP is suited to linguistic problems given linguists' preference for formulating their theories in discrete rules, and because of ILP's ability to incorporate various background theories. But it
John Nerbonne, Stasinos Konstantopoulos
openaire   +3 more sources

Support Vector Inductive Logic Programming [PDF]

, 2005
In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP). We propose a general method for constructing kernels for Support Vector Inductive Logic Programming (SVILP).
Huma Lodhi, Stephen Muggleton, Ata Amini, Michael J.E. Sternberg   +3 more
openaire   +1 more source