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SADM
2010
196views more  SADM 2010»
13 years 2 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
13 years 2 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
TNN
2010
234views Management» more  TNN 2010»
13 years 2 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
CCS
2011
ACM
12 years 7 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
ISCA
2005
IEEE
101views Hardware» more  ISCA 2005»
14 years 27 days 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,...