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BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
TMC
2008
114views more  TMC 2008»
13 years 8 months ago
SIP Multicast-Based Mobile Quality-of-Service Support over Heterogeneous IP Multimedia Subsystems
The Universal Mobile Telecommunications System (UMTS) all-IP network supports IP multimedia services through the IP Multimedia Subsystem (IMS). This paper proposes a mobile Qualit...
Shun-Ren Yang, Wen-Tsuen Chen
TON
2008
155views more  TON 2008»
13 years 8 months ago
A comparative analysis of server selection in content replication networks
Server selection plays an essential role in content replication networks, such as peer-to-peer (P2P) and content delivery networks (CDNs). In this paper, we perform an analytical i...
Tao Wu, David Starobinski
JGO
2010
117views more  JGO 2010»
13 years 6 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
SOCIALCOM
2010
13 years 6 months ago
Facilitating Knowledge Exploration in Folksonomies: Expertise Ranking by Link and Semantic Structures
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Wai-Tat Fu, Wei Dong
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