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ICML
2010
IEEE
15 years 3 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
TSD
2010
Springer
15 years 12 days ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
159
Voted
CSEDU
2011
221views Education» more  CSEDU 2011»
14 years 2 months ago
Learning of Algorithms on Mobile Devices through Bluetooth, SMS AND MMS Technology
Teaching Institutions are up against challenges of an advanced technology of learning with the objective of improving the efficiency of the teaching-learning process. Joining the ...
Ricardo José dos Santos Barcelos, Liane Mar...
ICML
2009
IEEE
16 years 3 months ago
Unsupervised search-based structured prediction
We describe an adaptation and application of a search-based structured prediction algorithm "Searn" to unsupervised learning problems. We show that it is possible to red...
Hal Daumé III
ICALT
2006
IEEE
15 years 8 months ago
CPM: A UML Profile to Design Cooperative PBL Situations at Didactical Level
In this paper, we present our research results about a UML-based modeling language dedicated to Problem-Based Learning design. The CPM (Cooperative Problem-Based learning Metamode...
Thierry Nodenot, Pierre Laforcade