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» Learning Monotonic Linear Functions
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JMLR
2006
131views more  JMLR 2006»
14 years 11 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
107
Voted
ACL
2009
14 years 9 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
PERCOM
2008
ACM
15 years 11 months ago
A tamper-proof and lightweight authentication scheme
We present a tamper-proof and lightweight challenge-response authentication scheme based on 2-level noisy Physically Unclonable Functions (PUF). We present a security reduction, w...
Ghaith Hammouri, Erdinç Öztürk, Berk Sunar
IJCNN
2000
IEEE
15 years 4 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
ICML
2006
IEEE
16 years 18 days ago
Regression with the optimised combination technique
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
Jochen Garcke