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ICTAI
2006
IEEE
15 years 3 months ago
MI-Winnow: A New Multiple-Instance Learning Algorithm
We present MI-Winnow, a new multiple-instance learning (MIL) algorithm that provides a new technique to convert MIL data into standard supervised data. In MIL each example is a co...
Sharath R. Cholleti, Sally A. Goldman, Rouhollah R...
DATE
2010
IEEE
168views Hardware» more  DATE 2010»
15 years 2 months ago
A new placement algorithm for the mitigation of multiple cell upsets in SRAM-based FPGAs
Modern FPGAs have been designed with advanced integrated circuit techniques that allow high speed and low power performance, joined to reconfiguration capabilities. This makes new...
Luca Sterpone, Niccolò Battezzati
IPPS
1999
IEEE
15 years 2 months ago
Lower Bounds on the Loading of Degree-2 Multiple Bus Networks for Binary-Tree Algorithms
A binary-tree algorithm, Bin(n), proceeds level-bylevel from the leaves of a 2n -leaf balanced binary tree to its root. This paper deals with running binary-tree algorithms on mul...
Hettihe P. Dharmasena, Ramachandran Vaidyanathan
PPSN
1998
Springer
15 years 1 months ago
Genetic Algorithms for the Multiple Container Packing Problem
This paper presents two variants of Genetic Algorithms (GAs) for solving the Multiple Container Packing Problem (MCPP), which is a combinatorial optimization problem comprising sim...
Günther R. Raidl, Gabriele Kodydek
ICARIS
2005
Springer
15 years 3 months ago
A Generic Framework for Population-Based Algorithms, Implemented on Multiple FPGAs
Many bio-inspired algorithms (evolutionary algorithms, artificial immune systems, particle swarm optimisation, ant colony optimisation, …) are based on populations of agents. Ste...
John Newborough, Susan Stepney