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» On the Distribution of Natural Probability Functions
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CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 5 days ago
What Cannot be Learned with Bethe Approximations
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...
Uri Heinemann, Amir Globerson
TWC
2010
14 years 11 months ago
Cooperative wireless multicast: performance analysis and power/location optimization
The popularity of multimedia multicast/broadcast applications over wireless networks makes it critical to address the error-prone, heterogeneous and dynamically changing nature of ...
H. Vicky Zhao, Weifeng Su
129
Voted
IAT
2009
IEEE
15 years 11 months ago
Optimization-Based Collision Avoidance for Cooperating Airplanes
Application of autonomous intelligent systems into airspace domain is very important nowadays. The paper presents decentralized collision avoidance algorithm utilizing a solution ...
David Sislák, Premysl Volf, Michal Pechouce...
QEST
2006
IEEE
15 years 10 months ago
Limiting Behavior of Markov Chains with Eager Attractors
We consider discrete infinite-state Markov chains which contain an eager finite attractor. A finite attractor is a finite subset of states that is eventually reached with prob...
Parosh Aziz Abdulla, Noomene Ben Henda, Richard Ma...
ISIPTA
2003
IEEE
15 years 9 months ago
Computing Lower Expectations with Kuznetsov's Independence Condition
Kuznetsov’s condition says that variables X and Y are independent when any product of bounded functions f(X) and g(Y) behaves in a certain way: the interval of expected values E...
Fabio Gagliardi Cozman