210
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
A distance oracle is a compact representation of the shortest distance matrix of a graph. It can be queried to retrieve approximate distances and corresponding paths between any p...
192
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
Discovering causal relations among observed variables in a given data set is a main topic in studies of statistics and artificial intelligence. Recently, some techniques to disco...
205
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
We present a novel approach to learn a kernelbased regression function. It is based on the use of conical combinations of data-based parameterized kernels and on a new stochastic ...
157
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
In this paper, we proposed an authentication method according to Diffie-Hellman. First, we introduce different methods for authentication in IEEE.802.16 then we proposed an authen...
192
click to vote
CORR
2012
Springer
14 years 2 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
235
click to vote
CORR
2012
Springer
14 years 2 months ago
2012
Springer
In the perspective of a sustainable urban planning, it is necessary to investigate cities in a holistic way and to accept surprises in the response of urban environments to a part...
208
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
Given a set of experiments in which varying subsets of observed variables are subject to intervention, we consider the problem of identifiability of causal models exhibiting late...
177
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
We present a novel primal-dual analysis on a class of NPhard sparsity minimization problems to provide new interpretations for their well known convex relaxations. We show that th...
242
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...