Results 21 to 30 of about 6,305,527 (245)
Outcome of misoprostol and oxytocin in induction of labour
SAGE Open Medicine, 2017 Background: Induction of labour is the process of initiating the labour by artificial means from 24 weeks of gestation. The main aim of this study is to find out the maternal and foetal outcomes after induction of labour with misoprostol and oxytocin ...
Trishna Acharya +3 more
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Deep learning, reinforcement learning, and world models
Neural Networks, 2022 Deep learning (DL) and reinforcement learning (RL) methods seem to be a part of indispensable factors to achieve human-level or super-human AI systems. On the other hand, both DL and RL have strong connections with our brain functions and with neuroscientific findings.
Yutaka Matsuo +7 more
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IEEE Access, 2018 Start-up lost time is the time lost in the starting of the green time interval when a traffic signal phase changes from red to green and previously stopped vehicles in the curb line queue need time to accelerate to the desired speed.
Suneet Kumar Singh +2 more
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Alifmatika, 2023 Every student must acquire mathematical problem-solving skills and self-efficacy to assist them in the learning process and solve different mathematical problems.
Indah Resti Ayuni Suri +3 more
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Critically slow learning in flashcard learning models [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2018 Algorithmic education theory examines, among other things, the trade-off between reviewing old material and studying new material: time spent learning the new comes at the expense of reviewing and solidifying one’s understanding of the old. This trade-off is captured in the “Slow Flashcard System” (SFS)—a system that has been studied not only for its ...
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LUMAT, 2022 The overarching aim of this article is to exemplify and analyse how some algebraic aspects of equations can be theoretically explored and reflected upon by young students in collaboration with their teacher. The article is based upon an empirical example from a case study in a grade 1 in a primary school.
Inger Eriksson, Natalia Tabachnikova
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Model of learning ability [PDF]
, 2005 The problem domain of the investigation presented in this dissertation is knowledge increase. In particular the research is concerned with the process of knowledge increase. The research problem formulated is formulated a posteriori: "Which factors determine the increase of personal knowledge that occurs by absorbing a particular new knowledge of an ...
Dörfler, Viktor +3 more
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Meta-learned models of cognition
Behavioral and Brain Sciences, 2023 Abstract Psychologists and neuroscientists extensively rely on computational models for studying and analyzing the human mind. Traditionally, such computational models have been hand-designed by expert researchers. Two prominent examples are cognitive architectures and Bayesian models of cognition. Although the former requires the specification of a
Marcel Binz +5 more
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RUDN Journal of Psychology and Pedagogics, 2022 The article is focused on the problem of inducing students to develop the non-linear, probabilistic style of thinking in the context of the digitalization of modern education.
Svetlana N. Dvoryatkina
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Learning underspecified models
Journal of Economic TheoryThis paper examines whether one can learn to play an optimal action while only knowing part of true specification of the environment. We choose the optimal pricing problem as our laboratory, where the monopolist is endowed with an underspecified model of the market demand, but can observe market outcomes.
In-Koo Cho, Jonathan Libgober
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