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» Machine Learning Approaches for Inducing Student Models
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124
Voted
KDD
2010
ACM
287views Data Mining» more  KDD 2010»
15 years 5 months ago
Designing efficient cascaded classifiers: tradeoff between accuracy and cost
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
Vikas C. Raykar, Balaji Krishnapuram, Shipeng Yu
136
Voted
CIKM
2009
Springer
15 years 10 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
126
Voted
MLDM
2005
Springer
15 years 9 months ago
Unsupervised Learning of Visual Feature Hierarchies
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Fabien Scalzo, Justus H. Piater
144
Voted
HRI
2010
ACM
15 years 9 months ago
Transparent active learning for robots
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
Crystal Chao, Maya Cakmak, Andrea Lockerd Thomaz
124
Voted
COLING
2002
15 years 3 months ago
Extraposition: A Case Study in German Sentence Realization
We profile the occurrence of clausal extraposition in corpora from different domains and demonstrate that extraposition is a pervasive phenomenon in German that must be addressed ...
Michael Gamon, Eric K. Ringger, Zhu Zhang, Robert ...