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JAIR
2007
127views more  JAIR 2007»
15 years 6 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
WIOPT
2010
IEEE
15 years 4 months ago
Stochastic modeling of carrier sensing based cognitive radio networks
In this paper, we propose a comprehensive probabilistic framework which can be used to model and analyze cognitive radio (CR) network using carrier sensing (CS) based multiple acc...
Nguyen Tien Viet, François Baccelli
ICASSP
2008
IEEE
16 years 27 days ago
Newton method for the ICA mixture model
We derive an asymptotic Newton algorithm for Quasi Maximum Likelihood estimation of the ICA mixture model, using the ordinary gradient and Hessian. The probabilistic mixture frame...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
ADVCS
2004
55views more  ADVCS 2004»
15 years 6 months ago
A Search Model of unemployment and Firm Dynamics
An urn-ball probabilistic model of the labor market is developed. Agents can be employed, (voluntary or involuntary) unemployed or entrepreneurs. The analytical long run equilibri...
Matteo Richiardi
IPPS
1997
IEEE
15 years 10 months ago
A Randomized Sorting Algorithm on the BSP model
We present a new randomized sorting algorithm on the Bulk-SynchronousParallel (BSP) model. The algorithm improves upon the parallel slack of previous algorithms to achieve optimal...
Alexandros V. Gerbessiotis, Constantinos J. Siniol...