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ECTEL
2006
Springer
15 years 5 months ago
An Exploratory Study of the Relationship Between Learning Styles and Cognitive Traits
To provide personalization and adaptivity in technology enhanced learning systems, the needs of learners have to be known by the system first. Detecting these needs is a challengin...
Sabine Graf, Taiyu Lin, Lynn Jeffrey, Kinshuk
WSC
1998
15 years 2 months ago
Using Cooperative Learning to Activate Your Simulation Classroom
Active and cooperative learning methods represent a paradigm shift in the delivery of engineering education. These techniques recognize that the passive model of the typical colle...
Manuel D. Rossetti, Harriet Black Nembhard
IROS
2007
IEEE
136views Robotics» more  IROS 2007»
15 years 7 months ago
Affordance-based imitation learning in robots
— In this paper we build an imitation learning algorithm for a humanoid robot on top of a general world model provided by learned object affordances. We consider that the robot h...
Manuel Lopes, Francisco S. Melo, Luis Montesano
ICML
2009
IEEE
16 years 2 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
BMCBI
2010
118views more  BMCBI 2010»
15 years 1 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...