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» Packet Classification Algorithms: From Theory to Practice
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ECML
2005
Springer
14 years 2 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
ICML
2007
IEEE
14 years 9 months ago
On learning with dissimilarity functions
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
Liwei Wang, Cheng Yang, Jufu Feng
DKE
2007
162views more  DKE 2007»
13 years 8 months ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
SIAMSC
2008
104views more  SIAMSC 2008»
13 years 8 months ago
Reducing Floating Point Error in Dot Product Using the Superblock Family of Algorithms
This paper discusses both the theoretical and statistical errors obtained by various well-known dot products, from the canonical to pairwise algorithms, and introduces a new and mo...
Anthony M. Castaldo, R. Clint Whaley, Anthony T. C...
ICC
2007
IEEE
126views Communications» more  ICC 2007»
14 years 3 months ago
Stochastic RED and Its Applications
Abstract— In this paper, we present a novel fair queue management algorithm called Stochastic RED (StoRED), inspired by the well known stochastic fair queuing and based on the ra...
Shan Chen, Zhen Zhou, Brahim Bensaou