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JMLR
2008
123views more  JMLR 2008»
14 years 12 months ago
Optimization Techniques for Semi-Supervised Support Vector Machines
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...
ACMICEC
2004
ACM
90views ECommerce» more  ACMICEC 2004»
15 years 5 months ago
Pricing in publish/subscribe systems
Publish/subscribe systems have gained increasing interest in the past few years. There are many commercial products available today that rely on them directly. However, up to now ...
Andreas Tanner, Michael A. Jaeger
WSC
2007
15 years 2 months ago
A method for fast generation of bivariate Poisson random vectors
It is well known that trivariate reduction — a method to generate two dependent random variables from three independent random variables — can be used to generate Poisson rand...
Kaeyoung Shin, Raghu Pasupathy
ICPR
2008
IEEE
15 years 6 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
COLT
2007
Springer
15 years 6 months ago
How Good Is a Kernel When Used as a Similarity Measure?
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
Nathan Srebro