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TSP
2010
12 years 11 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
CPC
2002
205views more  CPC 2002»
13 years 4 months ago
Convergence Of The Iterated Prisoner's Dilemma Game
Co-learning is a model involving agents from a large population, who interact by playing a fixed game and update their behaviour based on previous experience and the outcome of th...
Martin E. Dyer, Leslie Ann Goldberg, Catherine S. ...
IJCAI
2007
13 years 6 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
EUROPAR
2001
Springer
13 years 9 months ago
An Efficient Indirect Branch Predictor
In this paper, we present a new hybrid branch predictor called the GoStay2, which can effectively reduce indirect misprediction rates. The GoStay2 has two different mechanisms comp...
Yul Chu, Mabo Robert Ito
ICPR
2008
IEEE
13 years 11 months ago
Correspondences of point sets using Particle Filters
The paper shows how Particle Filters can be used to establish visually consistent partial correspondences between similar features in unrestricted 2D point sets representing shape...
Rolf Lakämper, Shusha Li, Marc Sobel