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» Machine-Learning Applications of Algorithmic Randomness
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ISSTA
2007
ACM
15 years 3 months ago
Instrumenting where it hurts: an automatic concurrent debugging technique
As concurrent and distributive applications are becoming more common and debugging such applications is very difficult, practical tools for automatic debugging of concurrent appl...
Rachel Tzoref, Shmuel Ur, Elad Yom-Tov

Source Code
1894views
15 years 8 months ago
Supervised Image Segmentation Using Markov Random Fields
This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers: 1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...
Csaba Gradwohl, Zoltan Kato
ICC
2011
IEEE
219views Communications» more  ICC 2011»
14 years 1 months ago
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems
—We consider a general wireless channel model for different types of code-division multiple access (CDMA) and space-division multiple-access (SDMA) systems with isometric random ...
Jakob Hoydis, Romain Couillet, Mérouane Deb...
INFOCOM
2007
IEEE
15 years 8 months ago
Multiple-Choice Random Network for Server Load Balancing
Abstract—In many networking applications such as file sharing, structured peer-to-peer networks are increasingly used in dynamic situations with fluctuating load, which require...
Ye Xia, Alin Dobra, Seung Chul Han
JCO
1998
136views more  JCO 1998»
15 years 1 months ago
A Greedy Randomized Adaptive Search Procedure for the Feedback Vertex Set Problem
Abstract. A Greedy Randomized Adaptive Search Procedure (GRASP) is a randomized heuristic that has produced high quality solutions for a wide range of combinatorial optimization pr...
Panos M. Pardalos, Tianbing Qian, Mauricio G. C. R...