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2009
ACM
271views Algorithms» more  STOC 2009»
14 years 5 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 5 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 5 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
PODS
2009
ACM
124views Database» more  PODS 2009»
14 years 5 months ago
Indexing uncertain data
Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries...
Pankaj K. Agarwal, Siu-Wing Cheng, Yufei Tao, Ke Y...
ICS
2009
Tsinghua U.
13 years 11 months ago
Less reused filter: improving l2 cache performance via filtering less reused lines
The L2 cache is commonly managed using LRU policy. For workloads that have a working set larger than L2 cache, LRU behaves poorly, resulting in a great number of less reused lines...
Lingxiang Xiang, Tianzhou Chen, Qingsong Shi, Wei ...