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» Optimizing cost and performance for multihoming
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186
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ICASSP
2011
IEEE
14 years 10 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
244
Voted
SIGMOD
2009
ACM
137views Database» more  SIGMOD 2009»
16 years 6 months ago
Robust and efficient algorithms for rank join evaluation
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
Jonathan Finger, Neoklis Polyzotis
GECCO
2003
Springer
15 years 11 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
WINET
2010
224views more  WINET 2010»
15 years 4 months ago
Hierarchical geographic multicast routing for wireless sensor networks
Wireless sensor networks comprise typically dense deployments of large networks of small wireless capable sensor devices. In such networks, multicast is a fundamental routing servi...
Dimitrios Koutsonikolas, Saumitra M. Das, Y. Charl...
WWW
2007
ACM
16 years 6 months ago
Long distance wireless mesh network planning: problem formulation and solution
Several research efforts as well as deployments have chosen IEEE 802.11 as a low-cost, long-distance access technology to bridge the digital divide. In this paper, we consider the...
Sayandeep Sen, Bhaskaran Raman