Results 61 to 70 of about 102,050 (305)

From conditioning to learning communities: Implications of fifty years of research in e‐learning interaction design [PDF]

open access: yes, 2003
This paper will consider e‐learning in terms of the underlying learning processes and interactions that are stimulated, supported or favoured by new media and the contexts or communities in which it is used.
Andrew Ravenscroft, Ravenscroft, Andrew
core   +1 more source

Effective deep learning aided vehicle classification approach using Seismic Data

open access: yesScientific Reports
Intelligent transportation systems (ITSs) significantly enhance traffic safety and management globally. A critical component of these systems is vehicle classification (VC), which supports vital applications such as congestion control, traffic monitoring,
Sherief Hashima   +4 more
doaj   +1 more source

A Computational Theory for Life-Long Learning of Semantics [PDF]

open access: yes, 2018
Semantic vectors are learned from data to express semantic relationships between elements of information, for the purpose of solving and informing downstream tasks. Other models exist that learn to map and classify supervised data. However, the two worlds of learning rarely interact to inform one another dynamically, whether across types of data or ...
Peter Sutor Jr.   +2 more
openaire   +2 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

open access: yesAdvanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed   +6 more
wiley   +1 more source

Modelling collective learning in design

open access: yes, 2004
In this paper, a model of collective learning in design is developed in the context of team design. It explains that a team design activity uses input knowledge, environmental information, and design goals to produce output knowledge.
Duffy, A.H.B., Wu, Zhichao
core   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

Priors in Bayesian Learning of Phonological Rules

open access: yes, 2004
This paper describes a Bayesian procedure for unsupervised learning of phonological rules from an unlabeled corpus of training data. Like Goldsmith's Linguistica program (Goldsmith, 2004b), whose output is taken as the starting point of this procedure ...
Johnson, Mark   +3 more
core   +1 more source

Physics computational literacy: An exploratory case study using computational essays

open access: yesPhysical Review Physics Education Research, 2019
Computation is becoming an increasingly important part of physics education. However, there are currently few theories of learning that can be used to help explain and predict the unique challenges and affordances associated with computation in physics ...
Tor Ole B. Odden   +2 more
doaj   +1 more source

Information Theory in Computational Biology: Where We Stand Today

open access: yesEntropy, 2020
“A Mathematical Theory of Communication” was published in 1948 by Claude Shannon to address the problems in the field of data compression and communication over (noisy) communication channels.
Pritam Chanda   +5 more
doaj   +1 more source

Towards a general theory of neural computation based on prediction by single neurons. [PDF]

open access: yesPLoS ONE, 2008
Although there has been tremendous progress in understanding the mechanics of the nervous system, there has not been a general theory of its computational function.
Christopher D Fiorillo
doaj   +1 more source

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