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Proceedings of the IX Latin American Conference on Human Computer Interaction, 2019
Digital security is one of the most important topics in Latin America and also one of the less attended, specially in our country. As an interdisciplinary team, we found out this is a main concern at the teacher's community. The most worrying thing about this is the lack of tools for learning about security and other digital competences, making ...
Laura Álvarez Guerrero +4 more
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Digital security is one of the most important topics in Latin America and also one of the less attended, specially in our country. As an interdisciplinary team, we found out this is a main concern at the teacher's community. The most worrying thing about this is the lack of tools for learning about security and other digital competences, making ...
Laura Álvarez Guerrero +4 more
openaire +1 more source
Learning Safe Numeric Action Models
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Powerful domain-independent planners have been developed to solve various types of planning problems. These planners often require a model of the acting agent's actions, given in some planning domain description language. Yet obtaining such an action model is a notoriously hard task.
Argaman Mordoch +2 more
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Creating a Safe Learning Organization
Frontiers of Health Services Management, 2005THE FEATURE ARTICLES in this issue of Frontiers of Health Services Management by Bagian at the Veterans Health Administration and by Winokur and Beauregard at William Beaumont Hospital highlight improvements in patient safety that need to be made by healthcare professionals and their organizations.
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2009
Working for pay is a common experience throughout North America for youth, with up to 80 percent of high school students working for at least a short duration of time through the course of a year. Once adolescents enter the labor market, they usually continue working, though they change jobs frequently through to their early 20s. Most working youth are
John H. Lewko, Richard Volpe
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Working for pay is a common experience throughout North America for youth, with up to 80 percent of high school students working for at least a short duration of time through the course of a year. Once adolescents enter the labor market, they usually continue working, though they change jobs frequently through to their early 20s. Most working youth are
John H. Lewko, Richard Volpe
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Psychodynamic Counselling, 1994
Abstract This paper presents and explores some ideas about the ways that children referred to a London borough learning support service, their teachers and school managers can be helped by a specialist teacher making use of her training as a psychodynamic counsellor and child psychotherapist. This paper is based on the premise that conditions necessary
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Abstract This paper presents and explores some ideas about the ways that children referred to a London borough learning support service, their teachers and school managers can be helped by a specialist teacher making use of her training as a psychodynamic counsellor and child psychotherapist. This paper is based on the premise that conditions necessary
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2015
Test scores are usually equated only at the total score level. If a test mainly measures a single trait, indicating that the test is essentially unidimensional, equating at the total score level could be the best choice. However, when a test is composed of subtests having negligible relationships among them, separate equating for each subtest offers ...
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Test scores are usually equated only at the total score level. If a test mainly measures a single trait, indicating that the test is essentially unidimensional, equating at the total score level could be the best choice. However, when a test is composed of subtests having negligible relationships among them, separate equating for each subtest offers ...
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Towards Safe Weakly Supervised Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019In this paper, we study weakly supervised learning where a large amount of data supervision is not accessible. This includes i) incomplete supervision, where only a small subset of labels is given, such as semi-supervised learning and domain adaptation; ii) inexact supervision, where only coarse-grained labels are given, such as multi-instance learning
Yufeng Li 0008 +2 more
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Safe Robot Learning by Energy Limitation
2012Online robot learning has been a goal for researchers for several decades. A problem arises when learning algorithms need to explore the environment as actions cannot easily be anticipated. Because of this, safety is a major issue when using learning algorithms.
Sigurd Mørkved Albrektsen +1 more
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2012
Standard Bayesian inference can behave suboptimally if the model is wrong. We present a modification of Bayesian inference which continues to achieve good rates with wrong models. Our method adapts the Bayesian learning rate to the data, picking the rate minimizing the cumulative loss of sequential prediction by posterior randomization. Our results can
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Standard Bayesian inference can behave suboptimally if the model is wrong. We present a modification of Bayesian inference which continues to achieve good rates with wrong models. Our method adapts the Bayesian learning rate to the data, picking the rate minimizing the cumulative loss of sequential prediction by posterior randomization. Our results can
openaire +2 more sources