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» Prospects for a Kantian Machine
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ECML
2003
Springer
13 years 11 months ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...
PADS
1996
ACM
13 years 10 months ago
Design of High Level Modelling / High Performance Simulation Environments
Advances in massively parallel platforms are increasing the prospects for high performance discrete event simulation. Still the di culty in parallel programming persists and there...
Bernard P. Zeigler, Doohwan Kim
BMCBI
2006
100views more  BMCBI 2006»
13 years 6 months ago
STAR: predicting recombination sites from amino acid sequence
Background: Designing novel proteins with site-directed recombination has enormous prospects. By locating effective recombination sites for swapping sequence parts, the probabilit...
Denis C. Bauer, Mikael Bodén, Ricarda Thier...
BMCBI
2010
182views more  BMCBI 2010»
13 years 6 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
UMUAI
2008
192views more  UMUAI 2008»
13 years 5 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...