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» The Dark Side of Object Learning: Learning Objects
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139
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WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 11 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
171
Voted
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 5 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
AAAI
2012
13 years 5 months ago
A Testbed for Learning by Demonstration from Natural Language and RGB-Depth Video
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
Young Chol Song, Henry A. Kautz
183
Voted
CVPR
2009
IEEE
16 years 10 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
146
Voted
IADIS
2004
15 years 4 months ago
Connect: Designing the Classroom of Tomorrow by Using Advanced Technologies to Connect Formal and Informal Learning Environments
The main objective of the CONNECT project is to develop an innovative pedagogical framework that attempts to blend formal and informal learning, proposing an educational reform to ...
Sofoklis Sotiriou, Eleni Chatzichristou, Stavros S...