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» A computational approximation to the AIXI model
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 3 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
ISBI
2008
IEEE
14 years 8 months ago
On approximation of orientation distributions by means of spherical ridgelets
Visualization and analysis of the micro-architecture of brain parenchyma by means of magnetic resonance imaging is nowadays believed to be one of the most powerful tools used for ...
Oleg V. Michailovich, Yogesh Rathi
DCC
2004
IEEE
14 years 7 months ago
Predicting Wavelet Coefficients Over Edges Using Estimates Based on Nonlinear Approximants
It is well-known that wavelet transforms provide sparse decompositions over many types of image regions but not over image singularities/edges that manifest themselves along curve...
Onur G. Guleryuz
MOBIHOC
2008
ACM
14 years 7 months ago
An approximation algorithm for conflict-aware broadcast scheduling in wireless ad hoc networks
Broadcast scheduling is a fundamental problem in wireless ad hoc networks. The objective of a broadcast schedule is to deliver a message from a given source to all other nodes in ...
Reza Mahjourian, Feng Chen, Ravi Tiwari, My T. Tha...
ICPR
2000
IEEE
14 years 8 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo