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» A Model of Learning Using the Internet
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ICML
2008
IEEE
16 years 7 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
ICALT
2006
IEEE
16 years 9 days ago
Metadata Challenges for Situational Properties of Learning Objects
raction of free-standing metadata describing learning objects is typified by an analytical model which primarily focuses on the encoding of discrete properties pertaining to the ...
Baden Hughes, Roderick A. Farmer
WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
16 years 3 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
SEMWEB
2005
Springer
15 years 11 months ago
Using Triples for Implementation: The Triple20 Ontology-Manipulation Tool
Triple20 is a ontology manipulation and visualization tool for languages built on top of the Semantic-Web RDF triple model. In this article we explain how a triple-centered design ...
Jan Wielemaker, Guus Schreiber, Bob J. Wielinga
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
15 years 12 months ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...