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» Active Learning in the Non-realizable Case
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IJCAI
2007
13 years 11 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
CRIWG
2003
13 years 11 months ago
Collaborative Scenarios to Promote Positive Interdependence among Group Members
Positive interdependence is the heart of collaborative activities that define collaboration and transform group work into teamwork. To achieve positive interdependence among studen...
César A. Collazos, Luis A. Guerrero, Jos&ea...
NIPS
2004
13 years 11 months ago
Rate- and Phase-coded Autoassociative Memory
Areas of the brain involved in various forms of memory exhibit patterns of neural activity quite unlike those in canonical computational models. We show how to use well-founded Ba...
Máté Lengyel, Peter Dayan
CHI
2009
ACM
14 years 10 months ago
Comparing the use of tangible and graphical programming languages for informal science education
Much of the work done in the field of tangible interaction has focused on creating tools for learning; however, in many cases, little evidence has been provided that tangible inte...
Michael S. Horn, Erin Treacy Solovey, R. Jordan Cr...
EUROCOLT
1997
Springer
14 years 2 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag