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IJCAI
1997
13 years 7 months ago
Combining Probabilistic Population Codes
We study the problemof statisticallycorrect inference in networks whose basic representations are population codes. Population codes are ubiquitous in the brain, and involve the s...
Richard S. Zemel, Peter Dayan
BMCBI
2006
123views more  BMCBI 2006»
13 years 5 months ago
Computational models with thermodynamic and composition features improve siRNA design
Background: Small interfering RNAs (siRNAs) have become an important tool in cell and molecular biology. Reliable design of siRNA molecules is essential for the needs of large fun...
Svetlana A. Shabalina, Alexey N. Spiridonov, Aleks...
HPDC
2007
IEEE
14 years 3 days ago
Failure-aware checkpointing in fine-grained cycle sharing systems
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of idle computational resources available on the Internet. Such systems allow guest jobs to run on a ho...
Xiaojuan Ren, Rudolf Eigenmann, Saurabh Bagchi
UAI
1997
13 years 7 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
PR
2007
151views more  PR 2007»
13 years 5 months ago
Learning to display high dynamic range images
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Guoping Qiu, Jiang Duan, Graham D. Finlayson