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IJCNN
2006
IEEE
14 years 3 months ago
Knowledge Representation and Possible Worlds for Neural Networks
— The semantics of neural networks can be analyzed mathematically as a distributed system of knowledge and as systems of possible worlds expressed in the knowledge. Learning in a...
Michael J. Healy, Thomas P. Caudell
SIGIR
2010
ACM
14 years 29 days ago
Supervised query modeling using wikipedia
We use Wikipedia articles to semantically inform the generation of query models. To this end, we apply supervised machine learning to automatically link queries to Wikipedia artic...
Edgar Meij, Maarten de Rijke
ITS
2000
Springer
108views Multimedia» more  ITS 2000»
14 years 20 days ago
Is What You Write What You Get?: An Operational Model of Training Scenario
To meet the needs for large-scale, high-quality learning contents, needless to say, we have to sharpen authoring tools. Authoring process can be roughly divided into two phases, a ...
Yusuke Hayashi, Mitsuru Ikeda, Kazuhisa Seta, Osam...
CLEIEJ
2008
103views more  CLEIEJ 2008»
13 years 9 months ago
An Ontology-based Framework and its Application to Effective Collaboration
In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of exp...
Seiji Isotani, Riichiro Mizoguchi
COGSCI
2010
125views more  COGSCI 2010»
13 years 9 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson