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JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 2 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
COMPGEOM
2010
ACM
14 years 1 months ago
Computing similarity between piecewise-linear functions
We study the problem of computing the similarity between two piecewise-linear bivariate functions defined over a common domain, where the surfaces they define in 3D—polyhedral...
Pankaj K. Agarwal, Boris Aronov, Marc J. van Kreve...
CVPR
2010
IEEE
14 years 5 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...
MMM
2007
Springer
127views Multimedia» more  MMM 2007»
14 years 3 months ago
Optimizing the Throughput of Data-Driven Based Streaming in Heterogeneous Overlay Network
Recently, much attention has been paid on data-driven (or swarm-like) based live streaming systems due to its rapid growth in deployment over Internet. In such systems, nodes rando...
Meng Zhang, Chunxiao Chen, Yongqiang Xiong, Qian Z...