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AMAI
2004
Springer
14 years 3 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
14 years 3 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet
DIAGRAMS
2004
Springer
14 years 3 months ago
Bayesian Boxes: A Colored Calculator for Picturing Posteriors
The need for Bayesian inference arises in military intelligence, medical diagnosis and many other practical applications. The problem is that human inferences are generally conserv...
Kevin Burns
IWCIA
2004
Springer
14 years 3 months ago
A Comparison of Property Estimators in Stereology and Digital Geometry
We consider selected geometric properties of 2D or 3D sets, given in form of binary digital pictures, and discuss their estimation. The properties examined are perimeter and area i...
Yuman Huang, Reinhard Klette
INFOCOM
2003
IEEE
14 years 3 months ago
A Framework for Reliable Routing in Mobile Ad Hoc Networks
— Mobile ad hoc networks consist of nodes that are often vulnerable to failure. As such, it is important to provide redundancy in terms of providing multiple nodedisjoint paths f...
Zhenqiang Ye, Srikanth V. Krishnamurthy, Satish K....