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» Iterative Bounding LAO
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108
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UAI
2004
14 years 11 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
71
Voted
CORR
2008
Springer
84views Education» more  CORR 2008»
14 years 10 months ago
Message-Passing Decoding of Lattices Using Gaussian Mixtures
A belief-propagation decoder for low-density lattice codes, which represents messages explicitly as a mixture of Gaussians functions, is given. In order to prevent the mixture elem...
Brian M. Kurkoski, Justin Dauwels
82
Voted
CORR
2008
Springer
130views Education» more  CORR 2008»
14 years 10 months ago
Asymptotically Good LDPC Convolutional Codes Based on Protographs
LDPC convolutional codes have been shown to be capable of achieving the same capacity-approaching performance as LDPC block codes with iterative message-passing decoding. In this p...
David G. M. Mitchell, Ali Emre Pusane, Kamil Sh. Z...
75
Voted
CORR
2006
Springer
83views Education» more  CORR 2006»
14 years 10 months ago
How to Beat the Adaptive Multi-Armed Bandit
The multi-armed bandit is a concise model for the problem of iterated decision-making under uncertainty. In each round, a gambler must pull one of K arms of a slot machine, withou...
Varsha Dani, Thomas P. Hayes
IEICET
2007
131views more  IEICET 2007»
14 years 10 months ago
High Accuracy Fundamental Matrix Computation and Its Performance Evaluation
We compare the convergence performance of different numerical schemes for computing the fundamental matrix from point correspondences over two images. First, we state the problem ...
Ken-ichi Kanatani, Yasuyuki Sugaya