Results 81 to 90 of about 836,133 (267)
Environmental Policy and Governance, Volume 32, Issue 6, Page 546-559, December 2022., 2022 Abstract Halieutic resources and small‐scale fisheries are globally under stress due to global changes. This phenomenon has very strong impacts on the socioeconomic situation of vast coastal areas worldwide and of the communities living there, whose economies rely on the ocean.
Marco Alberio, Marina Soubirou
wiley +1 more source
iMTF-GRN: Integrative Matrix Tri-Factorization for Inference of Gene Regulatory Networks
IEEE Access, 2019 Gene Regulatory Network (GRN) inference using computational approaches has been a highly pursued problem in bioinformatics. Various approaches have been developed to infer GRNs from gene expression data including statistical, machine learning and ...
Nisar Wani, Khalid Raza
doaj +1 more source
Representations and Ensemble Methods for Dynamic Relational Classification [PDF]
arXiv, 2011 Temporal networks are ubiquitous and evolve over time by the addition, deletion, and changing of links, nodes, and attributes. Although many relational datasets contain temporal information, the majority of existing techniques in relational learning focus on static snapshots and ignore the temporal dynamics.
arxiv
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
European Eating Disorders Review, Volume 31, Issue 1, Page 135-146, January 2023., 2023 Abstract Objective The aim of this study was to examine the processes involved in a guided self‐help (GSH) pre‐treatment intervention (RecoveryMANTRA) for patients with anorexia nervosa (AN), by measuring the levels of patient/mentor Language Style Matching (LSM).
Gaia Albano +6 more
wiley +1 more source
Learning Class-Level Bayes Nets for Relational Data [PDF]
arXiv, 2008 Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning (SRL) has developed a number of new statistical models for such data. In this paper we focus on learning class-level or first-order dependencies, which model the general database
arxiv
RelEx: A Model-Agnostic Relational Model Explainer [PDF]
arXiv, 2020 In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions of parameters produce state of the art results, but it can be nearly impossible to explain their predictions. While various explainability techniques have achieved impressive
arxiv
British Educational Research Journal, EarlyView.Abstract With levels of mental health difficulties among young people rising and policymakers focusing on the state's role in promoting young people's wellbeing, educational institutions have become positioned on the front line as key sites to identify and implement wellbeing interventions.
Ceri Brown +3 more
wiley +1 more source
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning [PDF]
Proceedings of The First Mathematical and Scientific Machine
Learning Conference, PMLR 107:27-54, 2020, 2019 Statistical learning theory provides bounds of the generalization gap, using in particular the Vapnik-Chervonenkis dimension and the Rademacher complexity. An alternative approach, mainly studied in the statistical physics literature, is the study of generalization in simple synthetic-data models.
arxiv