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» The Necessity of Combining Adaptation Methods
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VLDB
1999
ACM
140views Database» more  VLDB 1999»
14 years 2 months ago
Combining Histograms and Parametric Curve Fitting for Feedback-Driven Query Result-size Estimation
This paper aims to improve the accuracy of query result-size estimations in query optimizers by leveraging the dynamic feedback obtained from observations on the executed query wo...
Arnd Christian König, Gerhard Weikum
JMLR
2010
146views more  JMLR 2010»
13 years 4 months ago
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...
AH
2000
Springer
14 years 2 months ago
ACE - Adaptive Courseware Environment
: The Adaptive Courseware Environment (ACE) is a WWW-based tutoring framework which combines methods of knowledge representation, instructional planning, and adaptive media generat...
Marcus Specht
INTERSPEECH
2010
13 years 4 months ago
Regularized-MLLR speaker adaptation for computer-assisted language learning system
In this paper, we propose a novel speaker adaptation technique, regularized-MLLR, for Computer Assisted Language Learning (CALL) systems. This method uses a linear combination of ...
Dean Luo, Yu Qiao, Nobuaki Minematsu, Yutaka Yamau...
BILDMED
2008
125views Algorithms» more  BILDMED 2008»
13 years 11 months ago
Iterative Reconstruction of SPECT Images Using Adaptive Multi-level Refinement
We present a novel method for iterative reconstruction of high resolution images. Our method is based on the observation that constant regions in an image can be represented at muc...
Hanno Schumacher, Stefan Heldmann, Eldad Haber, Be...