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ANTSW
2008
Springer
15 years 5 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang
168
Voted
SIGIR
2011
ACM
14 years 6 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
129
Voted
SIGMOD
2010
ACM
184views Database» more  SIGMOD 2010»
15 years 8 months ago
Load-balanced query dissemination in privacy-aware online communities
We propose a novel privacy-preserving distributed infrastructure in which data resides only with the publishers owning it. The infrastructure disseminates user queries to publishe...
Emiran Curtmola, Alin Deutsch, K. K. Ramakrishnan,...
136
Voted
ISCA
2011
IEEE
269views Hardware» more  ISCA 2011»
14 years 7 months ago
Power management of online data-intensive services
Much of the success of the Internet services model can be attributed to the popularity of a class of workloads that we call Online Data-Intensive (OLDI) services. These workloads ...
David Meisner, Christopher M. Sadler, Luiz Andr&ea...
151
Voted
KES
1999
Springer
15 years 7 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli