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» Learning and Generalization with the Information Bottleneck
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SIGCSE
2010
ACM
231views Education» more  SIGCSE 2010»
15 years 3 months ago
Implementing studio-based learning in CS2
This paper presents an experience in designing, implementing, and evaluating a studio-based learning model for CS2. Adapted from architecture and art education, as well as from co...
T. Dean Hendrix, Lakshman Myneni, N. Hari Narayana...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 16 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
FOCS
1999
IEEE
15 years 2 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
UAI
2004
14 years 11 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
CE
2008
89views more  CE 2008»
14 years 10 months ago
An intelligent e-learning system based on learner profiling and learning resources adaptation
Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learn...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....