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ICASSP
2010
IEEE
15 years 4 months ago
Learning from other subjects helps reducing Brain-Computer Interface calibration time
A major limitation of Brain-Computer Interfaces (BCI) is their long calibration time, as much data from the user must be collected in order to tune the BCI for this target user. I...
Fabien Lotte, Cuntai Guan
ICML
2005
IEEE
16 years 7 months ago
Multi-class protein fold recognition using adaptive codes
We develop a novel multi-class classification method based on output codes for the problem of classifying a sequence of amino acids into one of many known protein structural class...
Eugene Ie, Jason Weston, William Stafford Noble, C...
ICML
2005
IEEE
16 years 7 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
AIED
2007
Springer
16 years 1 months ago
Empowering researchers to detect interaction patterns in e-collaboration
This paper describes an approach to support practitioners in the analysis of computer-supported learning processes by utilizing logfiles of learners’ actions captured by the sys...
Andreas Harrer, Rakheli Hever, Sabrina Ziebarth
ECML
2007
Springer
16 years 1 months ago
Analyzing Co-training Style Algorithms
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each oth...
Wei Wang, Zhi-Hua Zhou