نتایج جستجو برای: learner hidden agenda

تعداد نتایج: 110851  

Journal: :J. Applied Logic 2016
Sergey Babenyshev Manuel A. Martins

This work advances a research agenda which has as its main aim the application of Abstract Algebraic Logic (AAL) methods and tools to the specification and verification of software systems. It uses a generalization of the notion of an abstract deductive system to handle multi-sorted deductive systems which differentiate visible and hidden sorts. Two main results of the paper are obtained by gen...

Journal: :JASIST 2008
Johannes J. Britz

Society is seen as a continuation of relationships which have been altered by the use of modern information and communication technologies (ICTs). Four interrelated characteristics of the global Information Society also are identified. After a brief overview of the main socioethical issues facing the global Information Society, the article discusses the application of social justice as a moral ...

Journal: :J. UCS 2012
Benjamim Fonseca Ângela Pereira Robert Sanders Vera Barracho Urban Lapajne Matej Rus Martin Rahe Andre Mostert Thorsten Klein Viktorija Bojovic Sasa Bosnjak Leonel Morgado Zita Bosnjak João Carvalho Isabel Duarte Andreana Casaramona Alberto Soraci Hugo Paredes Paulo Martins Ramiro Gonçalves Pedro Neves Ricardo Rodrigues Nunes Jorge Lima João Varajão

Entrepreneurship is widely recognized as one of the basic skills to be acquired through a life-long learning. The European Union, under the guidance of the Oslo Agenda, promotes several initiatives to develop entrepreneurship culture in Europe. Education can make a significant contribution to entrepreneurship, encouraging the development of entrepreneurial attitudes and skills in young people. ...

2011
Tongzhen Zhang Victor Callaghan Ruimin Shen Marc Davies

In this ‘work in progress’ paper, we describe research into e-learning and virtual reality at Shanghai Jiaotong University (SJTU) and Essex University respectively. We use our experience to propose a novel virtualised learning model and architecture to support online learners and teachers to visualize important learning related information that has hitherto been invisible to users of online lea...

2001
Bruce Tesar

One of the major challenges of language acquisition is the fact that the auditory signal received by a child underdetermines the structural description of the utterance. This paper approaches the problem by capitalizing on the optimizing structure of Optimality Theory. The learner uses a hypothesized grammar to make a best guess at the full structural description of an observed overt form, llin...

2016
Alon Cohen Tamir Hazan Tomer Koren

We study an online learning framework introduced by Mannor and Shamir (2011) in which the feedback is specified by a graph, in a setting where the graph may vary from round to round and is never fully revealed to the learner. We show a large gap between the adversarial and the stochastic cases. In the adversarial case, we prove that even for dense feedback graphs, the learner cannot improve upo...

2006
Hyun Jin Cha Yong Se Kim Seon Hee Park Tae Bok Yoon Young Mo Jung Jee-Hyong Lee

Each learner has different preferences and needs. Therefore, it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner’s preferences are diagnosed, and then user interfaces are customized in an adaptive manner to accom...

Journal: :Academia letters 2021

This hidden agenda has undermined "attempts to build a modern, legitimate and responsive state" (p. 69) in Afghanistan.

1995
Scott E. Decatur

We consider formal models of learning from noisy data. Speciically, we focus on learning in the probability approximately correct model as deened by Valiant. Two of the most widely studied models of noise in this setting have been classiication noise and malicious errors. However, a more realistic model combining the two types of noise has not been formalized. We deene a learning environment ba...

1996
Michael Bonnell Harries Kim Horn

Concept drift due to hidden changes in context complicates learning in many domains including nancial prediction, medical diagnosis , and network performance. Existing machine learning approaches to this problem use an incremental learning, on-line paradigm. Batch, oo-line learners tend to be ineeective in domains with hidden changes in context as they assume that the training set is homogeneou...

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