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Informal learning

WIREs Cognitive Science, 2011
AbstractWe consider research and theory relevant to the notion of informal learning. Beginning with historical and definitional issues, we argue that learning happens not just in schools or in school‐aged children. Many theorists have contrasted informal learning with formal learning.
Maureen, Callanan   +2 more
openaire   +2 more sources

Information Bottleneck and Aggregated Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
We consider the problem of learning a neural network classifier. Under the information bottleneck (IB) principle, we associate with this classification problem a representation learning problem, which we call "IB learning". We show that IB learning is, in fact, equivalent to a special class of the quantization problem.
Soflaei, Masoumeh   +4 more
openaire   +3 more sources

Learning with perfect information

Games and Economic Behavior, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pradeep Dubey, Ori Haimanko
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Learning in the information society

Interactive Technology and Smart Education, 2006
Despite some spectacular e‐learning failures in recent years, e.g. the British government’s “e University”,educational technologies have continued developing and have made advances in several learning paradigms. These new learning paradigms appear as newways to deal with the old traditional learning concepts and philosophies throughout the widespread ...
Pedro T. Isaías, Maggie McPherson
openaire   +4 more sources

Learning with Hidden Information

2014 22nd International Conference on Pattern Recognition, 2014
In many classification problems, there exists additional information which is available during training but not available during testing. In this paper we denote such information as hidden information, and study how to incorporate it to improve the learning performance.
Ziheng Wang 0001   +2 more
openaire   +1 more source

Validation of informal learning

Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality, 2014
Peer ...
Galanis, Nikolaos   +3 more
openaire   +3 more sources

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
openaire   +1 more source

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 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 ...
openaire   +3 more sources

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.
openaire   +1 more source

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