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UAI
1997
14 years 11 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
KAIS
2008
221views more  KAIS 2008»
14 years 9 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
BIOINFORMATICS
2005
152views more  BIOINFORMATICS 2005»
14 years 9 months ago
Intervention in context-sensitive probabilistic Boolean networks
Motivation: Intervention in a gene regulatory network is used to help it avoid undesirable states, such as those associated with a disease. Several types of intervention have been...
Ranadip Pal, Aniruddha Datta, Michael L. Bittner, ...
TIT
2008
95views more  TIT 2008»
14 years 9 months ago
Error Exponent Regions for Gaussian Broadcast and Multiple-Access Channels
In modern communication systems, different users have different requirements for quality of service (QoS). In this work, QoS refers to the average codeword error probability experi...
Lihua Weng, S. Sandeep Pradhan, Achilleas Anastaso...
ICRA
2010
IEEE
151views Robotics» more  ICRA 2010»
14 years 8 months ago
Probabilistic target detection by camera-equipped UAVs
— This paper is motivated by the real world problem of search and rescue by unmanned aerial vehicles (UAVs). We consider the problem of tracking a static target from a bird’sey...
Andrew Colquhoun Symington, Sonia Waharte, Simon J...