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» Approaching Optimality for Solving SDD Linear Systems
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ICMLA
2008
15 years 5 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
CVPR
2007
IEEE
16 years 6 months ago
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling
Kernel machines have recently been considered as a promising solution for implicit surface modelling. A key challenge of machine learning solutions is how to fit implicit shape mo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
WSC
2007
15 years 6 months ago
Kriging metamodeling in constrained simulation optimization: an explorative study
This paper describes two experiments exploring the potential of the Kriging methodology for constrained simulation optimization. Both experiments study an (s, S) inventory system ...
William E. Biles, Jack P. C. Kleijnen, Wim C. M. V...
ICCD
2008
IEEE
124views Hardware» more  ICCD 2008»
16 years 1 months ago
Global bus route optimization with application to microarchitectural design exploration
— Circuit and processor designs will continue to increase in complexity for the foreseeable future. With these increasing sizes comes the use of wide buses to move large amounts ...
Dae Hyun Kim, Sung Kyu Lim
133
Voted
CORR
2010
Springer
112views Education» more  CORR 2010»
15 years 1 months ago
Optimal Distributed Online Prediction using Mini-Batches
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin X...