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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
16 years 8 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
ICMCS
2008
IEEE
150views Multimedia» more  ICMCS 2008»
16 years 1 months ago
DONet-VoD: A hybrid overlay solution for efficient peer-to-peer video on demand services
The existing DONet-based approach uses successfully a random gossip algorithm for scalable live video streaming. This pure mesh overlay network-based solution may lead to unaccept...
Changqiao Xu, Gabriel-Miro Muntean, Enda Fallon, X...
ICPP
2008
IEEE
16 years 1 months ago
Parallel Inferencing for OWL Knowledge Bases
Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Ramakrishna Soma, Viktor K. Prasanna
ICDCS
2007
IEEE
16 years 27 days ago
A Weighted Moving Average-based Approach for Cleaning Sensor Data
Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environment, however, it is ...
Yongzhen Zhuang, Lei Chen 0002, Xiaoyang Sean Wang...