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» Predictive Hebbian Learning
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110
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AIED
2007
Springer
15 years 9 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
133
Voted
IEAAIE
2009
Springer
15 years 1 months ago
Constructing Decisional DNA on Renewable Energy: A Case Study
Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different fields. Knowledge...
Cesar Sanín, Edward Szczerbicki
189
Voted
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
13 years 11 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
ICML
2008
IEEE
16 years 4 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
ICML
2005
IEEE
16 years 4 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg