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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 2 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
123
Voted
APCHI
2004
IEEE
15 years 7 months ago
Understanding Interaction Experience in Mobile Learning
The convergence of mobile technology and e-learning has generated considerable excitement among both practitioners and academics. Mass media continually promotes novel idea about m...
Fariza Hanis Abdul Razak
118
Voted
ESANN
2006
15 years 5 months ago
Learning for stochastic dynamic programming
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
Sylvain Gelly, Jérémie Mary, Olivier...
CDC
2008
IEEE
15 years 10 months ago
Suppressing intersample behavior in Iterative Learning Control
— Iterative Learning Control (ILC) is a control strategy to improve the performance of digital batch repetitive processes. Due to its digital implementation, discrete time ILC ap...
Tom Oomen, Jeroen van de Wijdeven, Okko Bosgra
CLEF
2008
Springer
15 years 5 months ago
Combining Logic and Machine Learning for Answering Questions
Abstract. LogAnswer is a logic-oriented question answering system developed by the AI research group at the University of Koblenz-Landau and by the IICS at the University of Hagen....
Ingo Glöckner, Björn Pelzer