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KDD
2002
ACM
160views Data Mining» more  KDD 2002»
14 years 9 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
IWCLS
2007
Springer
14 years 3 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
ICC
2007
IEEE
140views Communications» more  ICC 2007»
14 years 3 months ago
Performance Analysis of Adaptively-Routed Wormhole-Switched Networks with Finite Buffers
—The use of adaptively-routed wormhole switched k-ary n-cubes has been motivated by the high path diversity provided by the rich topology of this family of interconnection networ...
Nasser Alzeidi, Mohamed Ould-Khaoua, Lewis M. Mack...
WWW
2008
ACM
14 years 9 months ago
Learning transportation mode from raw gps data for geographic applications on the web
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...
Yu Zheng, Like Liu, Longhao Wang, Xing Xie
FPL
2009
Springer
156views Hardware» more  FPL 2009»
14 years 1 months ago
A highly scalable Restricted Boltzmann Machine FPGA implementation
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
Sang Kyun Kim, Lawrence C. McAfee, Peter L. McMaho...