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Learning and Information Theory

International Journal of Neuroscience, 1972
A general statistical description of learning processes is given, using an extension of classical information theory which is able to characterize a system's subjective uncertainty (subjective entropy) about a set of data and the relevance associated with them.
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Learning to learn with the informative vector machine

Twenty-first international conference on Machine learning - ICML '04, 2004
This paper describes an efficient method for learning the parameters of a Gaussian process (GP). The parameters are learned from multiple tasks which are assumed to have been drawn independently from the same GP prior. An efficient algorithm is obtained by extending the informative vector machine (IVM) algorithm to handle the multi-task learning case ...
Neil D. Lawrence, John C. Platt
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Learning to Rank for Information Retrieval

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2007
Learning to rank for Information Retrieval (IR) is a task to automatically construct a ranking model using training data, such that the model can sort new objects according to their degrees of relevance, preference, or importance. Many IR problems are by nature ranking problems, and many IR technologies can be potentially enhanced by using learning-to ...
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Informal learning

Development and Learning in Organizations: An International Journal, 2022
Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
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Information Sources for Noun Learning

Cognitive Science, 2005
AbstractWhy are some words easier to learn than others? And what enables the eventual learning of the more difficult words? These questions were addressed for nouns using a paradigm in which adults were exposed to naturalistic maternal input that was manipulated to simulate access to several different information sources, both alone and in combination:
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Informational Learning

2013
Studi Urbinati, B - Scienze umane e sociali, V. 80 (2010)
Torrisi, Giovanni, Messina, Massimo
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Informal digital learning of English (IDLE): a scoping review of what has been done and a look towards what is to come

Computer Assisted Language Learning, 2023
Ali Soyoof   +2 more
exaly  

Informal (Field-Based) Learning

Annual Review of Organizational Psychology and Organizational Behavior, 2022
Scott I Tannenbaum, Mikhail A Wolfson
exaly  

Individual differences and informal learning in the workplace

Journal of Vocational Behavior, 2013
Raymond A Noe, Michael J Tews
exaly  

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