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» DiFacto: Distributed Factorization Machines
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NIPS
2003
15 years 1 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
COLT
1999
Springer
15 years 4 months ago
Boosting as Entropy Projection
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Jyrki Kivinen, Manfred K. Warmuth
WWW
2005
ACM
16 years 24 days ago
A multi-threaded PIPELINED Web server architecture for SMP/SoC machines
Design of high performance Web servers has become a recent research thrust to meet the increasing demand of networkbased services. In this paper, we propose a new Web server archi...
Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz, Chita R. D...
CORR
2002
Springer
79views Education» more  CORR 2002»
14 years 12 months ago
Technical Note: Bias and the Quantification of Stability
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
Peter D. Turney
ENTCS
2008
99views more  ENTCS 2008»
15 years 6 days ago
Modelling Intracellular Fate of FGF Receptors With BioAmbients
In this paper we consider a model of different sorting of receptors for Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the di...
Steffen van Bakel, Ikra Khan, Maria Grazia Vigliot...