Results 61 to 70 of about 12,004,986 (327)
Learning a Policy for Opportunistic Active Learning
, 2018 Active learning identifies data points to label that are expected to be the most useful in improving a supervised model. Opportunistic active learning incorporates active learning into interactive tasks that constrain possible queries during interactions.
Mooney, Raymond J. +2 more
core +1 more source
Welfare Benefits and Ethnic Minorities: Transfers from Australia to the United-Kingdom
Miranda: Revue Pluridisciplinaire du Monde Anglophone, 2014 With a quarter of its population born overseas, Australia has had to face the challenges commonly associated with the integration of minority groups in a singularly acute manner.
Sophie Koppe
doaj +1 more source
Learning from Other Places and Their Plans: Comparative Learning in and for Planning Systems
Urban Planning, 2020 In this thematic issue we pursue the idea that comparative studies of planning systems are utterly useful for gaining a deeper understanding of learning processes and learning capacity in spatial planning systems.
Kristof Van Assche +2 more
doaj +1 more source
Learning multi-agent cooperation
Frontiers in Neurorobotics, 2022 Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains.
Corban Rivera +2 more
doaj +1 more source
'The heart of what we do': policies on teaching, learning and assessment in the learning and skills sector [PDF]
, 2007 One of the stated aims of government policy in England is to put teaching, training,and learning at the heart of the learning and skills system. This paper provides a critical review of policies on teaching, learning and assessment in the learning and ...
Ann Hodgson +18 more
core +3 more sources
European Journal of Islamic Finance, 2018 This article explores policy failures phenomena and makes suggestions to draw lessons from past mistakes in order to improve financial policies in the future.
Mustafa Mahmoud Hamed
doaj +1 more source
Real–Sim–Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning
Applied Sciences, 2020 Compared to traditional data-driven learning methods, recently developed deep reinforcement learning (DRL) approaches can be employed to train robot agents to obtain control policies with appealing performance. However, learning control policies for real-
Naijun Liu +4 more
doaj +1 more source
Central European Journal of Public Policy, 2021 In this paper, we investigate the changing model of social security. The analyses are focusing on changes in labour market policies which have taken place in the countries of the European Union.
Csoba Judit
doaj +1 more source
Learning from experience leading to engagement: for a Europe of religion and belief diversity [PDF]
, 2012 The Religious Diversity and Anti-Discrimination Training Program provides a remarkable opportunity for participants of all walks of life to share opinions, concerns and needs of a variety of very real and practical issues such as the role of religion in ...
Cheruvallil-Contractor, Sariya +1 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source