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Book
519views
15 years 4 months ago
Information Theory, Inference, and Learning Algorithms
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and...
David J. C. MacKay
JUCS
2006
88views more  JUCS 2006»
13 years 5 months ago
Parameter Estimation of the Cauchy Distribution in Information Theory Approach
: As we know the Cauchy distribution plays an important role in Probability Theory and Statistics. In this paper, we investigate the estimation of the location and the scale parame...
Ferenc Nagy
UAI
2001
13 years 6 months ago
Toward General Analysis of Recursive Probability Models
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
Daniel Pless, George F. Luger
TIT
2008
118views more  TIT 2008»
13 years 3 months ago
Discrete-Input Two-Dimensional Gaussian Channels With Memory: Estimation and Information Rates Via Graphical Models and Statisti
Abstract--Discrete-input two-dimensional (2-D) Gaussian channels with memory represent an important class of systems, which appears extensively in communications and storage. In sp...
Ori Shental, Noam Shental, Shlomo Shamai, Ido Kant...
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
13 years 12 months ago
Increasing the Gap between Descriptional Complexity and Algorithmic Probability
The coding theorem is a fundamental result of algorithmic information theory. A well known theorem of G´acs shows that the analog of the coding theorem fails for continuous sample...
Adam R. Day