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SADM
2010
196views more  SADM 2010»
14 years 11 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
TASE
2010
IEEE
14 years 11 months ago
Optimization of Group Elevator Scheduling With Advance Information
Group elevator scheduling has received considerable attention due to its importance to transportation efficiency for mid-rise and high-rise buildings. One important trend to improv...
Jin Sun, Qianchuan Zhao, Peter B. Luh
203
Voted
TNN
2010
234views Management» more  TNN 2010»
14 years 11 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
151
Voted
CCS
2011
ACM
14 years 5 months ago
SURF: detecting and measuring search poisoning
Search engine optimization (SEO) techniques are often abused to promote websites among search results. This is a practice known as blackhat SEO. In this paper we tackle a newly em...
Long Lu, Roberto Perdisci, Wenke Lee
167
Voted
ISCA
2005
IEEE
101views Hardware» more  ISCA 2005»
15 years 10 months ago
Near-Optimal Worst-Case Throughput Routing for Two-Dimensional Mesh Networks
Minimizing latency and maximizing throughput are important goals in the design of routing algorithms for interconnection networks. Ideally, we would like a routing algorithm to (a...
Daeho Seo, Akif Ali, Won-Taek Lim, Nauman Rafique,...