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» Computing LTS Regression for Large Data Sets
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134
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JUCS
2007
108views more  JUCS 2007»
15 years 3 months ago
On Pipelining Sequences of Data-Dependent Loops
: Sequences of data-dependent tasks, each one traversing large data sets, exist in many applications (such as video, image and signal processing applications). Those tasks usually ...
Rui Rodrigues, João M. P. Cardoso
151
Voted
EDBT
2010
ACM
206views Database» more  EDBT 2010»
15 years 10 months ago
Efficient computation of trade-off skylines
When selecting alternatives from large amounts of data, trade-offs play a vital role in everyday decision making. In databases this is primarily reflected by the top-k retrieval p...
Christoph Lofi, Ulrich Güntzer, Wolf-Tilo Bal...
136
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NN
2006
Springer
163views Neural Networks» more  NN 2006»
15 years 3 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
109
Voted
ICPR
2008
IEEE
16 years 4 months ago
Rapid signer adaptation for continuous sign language recognition using a combined approach of eigenvoices, MLLR, and MAP
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Christoph Blömer, Karl-Friedrich Kraiss, Ulri...
139
Voted
ICML
2009
IEEE
16 years 4 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng