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DCC
2009
IEEE
14 years 9 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
INFOCOM
2009
IEEE
14 years 3 months ago
FiConn: Using Backup Port for Server Interconnection in Data Centers
Abstract— The goal of data center networking is to interconnect a large number of server machines with low equipment cost, high and balanced network capacity, and robustness to l...
Dan Li, Chuanxiong Guo, Haitao Wu, Kun Tan, Songwu...
COMPGEOM
2009
ACM
14 years 3 months ago
Coresets for polytope distance
Following recent work of Clarkson, we translate the coreset framework to the problems of finding the point closest to the origin inside a polytope, finding the shortest distance...
Bernd Gärtner, Martin Jaggi
PARA
1995
Springer
14 years 18 days ago
ScaLAPACK Tutorial
Abstract. ScaLAPACK is a library of high performance linear algebra routines for distributed memory MIMD computers. It is a continuation of the LAPACK project, which designed and p...
Jack Dongarra, Antoine Petitet
ML
2007
ACM
130views Machine Learning» more  ML 2007»
13 years 8 months ago
Interactive learning of node selecting tree transducer
We develop new algorithms for learning monadic node selection queries in unranked trees from annotated examples, and apply them to visually interactive Web information extraction. ...
Julien Carme, Rémi Gilleron, Aurélie...