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TIT
2010
107views Education» more  TIT 2010»
12 years 11 months ago
Information inequalities for joint distributions, with interpretations and applications
Upper and lower bounds are obtained for the joint entropy of a collection of random variables in terms of an arbitrary collection of subset joint entropies. These inequalities gene...
Mokshay M. Madiman, Prasad Tetali
CORR
2010
Springer
140views Education» more  CORR 2010»
13 years 4 months ago
Joint interpretation of on-board vision and static GPS cartography for determination of correct speed limit
We present here a first prototype of a "Speed Limit Support" Advance Driving Assistance System (ADAS) producing permanent reliable information on the current speed limit...
Alexandre Bargeton, Fabien Moutarde, Fawzi Nashash...
JMLR
2010
134views more  JMLR 2010»
12 years 11 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
IMC
2009
ACM
13 years 11 months ago
Triangle inequality variations in the internet
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
ISIPTA
2005
IEEE
146views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints
Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
Jianzhong Zhang 0004, Daniel Berleant