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TNN
2010
234views Management» more  TNN 2010»
13 years 4 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
CLEIEJ
2010
13 years 7 months ago
Incorporation of Kinesthetic Learning Activities to Computer Science 1 course: Use and Results
In this work, we present the systematic incorporation of Kinesthetic Learning Activities (activities with movements and sensations), into the Computer Science 1 course. We detail ...
Inés Friss de Kereki
IJON
2010
181views more  IJON 2010»
13 years 8 months ago
Active learning with extremely sparse labeled examples
An active learner usually assumes there are some labeled data available based on which a moderate classifier is learned and then examines unlabeled data to manually label the mos...
Shiliang Sun, David R. Hardoon
ECIR
2009
Springer
14 years 7 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
DGO
2003
111views Education» more  DGO 2003»
13 years 11 months ago
Assessing the Usefulness and Usability of Online Learning Activities: MapStats for Kids
MapStats for Kids is concerned with the development of online learning activities based on data from the FedStats web portal. The development of these web applications requires th...
Sven Fuhrmann, John Bosley, Roger Downs, Mark Gahe...