Results 91 to 100 of about 275,882 (279)

Numeric Input Relations for Relational Learning with Applications to Community Structure Analysis

, 2015
Most work in the area of statistical relational learning (SRL) is focussed on discrete data, even though a few approaches for hybrid SRL models have been proposed that combine numerical and discrete variables.
Jaeger, Manfred, Jiang, Jiuchuan
core  

Listening to Hong Kong children's perspectives through pretend play

British Educational Research Journal, EarlyView.
Abstract Quality in early childhood education and care (ECEC) has become an increasing concern in recent years. The issue has been regularly discussed by different stakeholders. However, the rising concern regarding quality in ECEC has not seriously taken into account children's perspectives.
Suzannie K. Y. Leung
wiley   +1 more source

A Systematic Evaluation Method of Graph-Derived Signals for Tabular Machine Learning

Applied Sciences
While graph-derived signals are widely used in tabular learning, existing studies typically rely on limited experimental setups and average performance comparisons, leaving the statistical reliability and robustness of observed gains largely unexplored ...
Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer, Gonzalo Wandosell Fernández de Bobadilla   +3 more
doaj   +1 more source

Statistical Relational Learning: An Inductive Logic Programming Perspective [PDF]

, 2005
In the past few years there has been a lot of work lying at the intersection of probability theory, logic programming and machine learning [14,18,13,9,6,1,11]. This work is known under the names of statistical relational learning [7,5], probabilistic logic learning [4], or probabilistic inductive logic programming.
openaire   +2 more sources

Listening to young children with disabilities: Experiences of quality in mainstream primary education

British Educational Research Journal, EarlyView.
Abstract All children should have access to quality education through a child‐centred pedagogy. An inclusive, child‐centred pedagogy uses a strength‐based view of children that recognises each child as unique and competent, providing children with multiple opportunities to explore and learn at their own pace.
Katherine Gulliver
wiley   +1 more source

Activism as education in and through the youth climate justice movement

British Educational Research Journal, EarlyView.
Abstract Young people worldwide are increasingly participating in a global movement for climate justice, yet to date, little research has examined how youth climate justice activists conceive of and experience activism as education. The present study used in‐depth, semi‐structured interviews with 16 US climate justice activists (aged 15–17) to address ...
Carlie D. Trott
wiley   +1 more source

The effect of lexicalization biases on cross-situational statistical learning of novel verbs

Language and Cognition
Languages vary in the mapping of relational terms onto events. For instance, English motion descriptions favor manner (how something moves) verbs over path (where something move) verbs, whereas those of other languages, like Spanish, show the opposite ...
Nathan R. George, Sabina Ciaccio, Lucia Berry, Daniel J. Weiss   +3 more
doaj   +1 more source

‘Where are the adults?’: Troubling child‐activism and children's political participation

British Educational Research Journal, EarlyView.
Abstract Children's political participation is a well‐established theme in childhood studies. In this article we offer an original account of child activism that takes into account the entangled and emergent aspect of children as activists. We begin with a historical and a conceptual review, noting the importance of mid‐20th century developments such ...
Sharon Hunter, Claire Cassidy
wiley   +1 more source

Activism in the arts: Co‐researching cultural inequalities with young people during the COVID‐19 pandemic

British Educational Research Journal, EarlyView.
Abstract This paper explores the growing influence of young people's activism in UK museums and its educational implications. It draws on a five‐year collaborative programme (2019–2023) with young people of colour (16–28) in a university museum setting, focusing on a Young Collective established to address cultural inequalities.
Sadia Habib
wiley   +1 more source

Transforming Graph Data for Statistical Relational Learning

Journal of Artificial Intelligence Research, 2012
Relational data representations have become an increasingly important topic due to the recent proliferation of network datasets (e.g., social, biological, information networks) and a corresponding increase in the application of Statistical Relational Learning (SRL) algorithms to these domains.
R. A. Rossi, L. K. McDowell, D. W. Aha, J. Neville   +3 more
openaire   +2 more sources