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AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 8 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
15 years 11 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
CDC
2009
IEEE
183views Control Systems» more  CDC 2009»
15 years 8 months ago
Algorithms and stability analysis for content distribution over multiple multicast trees
Abstract— The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed...
Xiaoying Zheng, Chunglae Cho, Ye Xia
JCISE
2002
166views more  JCISE 2002»
15 years 4 months ago
The STEP Modular Architecture
The first Technical Note in this series [1] introduced the international standard ISO 10303, informally known as STEP (STandard for the Exchange of Product model data). Subsequent...
Allison Barnard Feeney
DMIN
2008
147views Data Mining» more  DMIN 2008»
15 years 6 months ago
Approximate Computation of Object Distances by Locality-Sensitive Hashing
We propose an approximate computation technique for inter-object distances for binary data sets. Our approach is based on the locality sensitive hashing, scales up with the number ...
Selim Mimaroglu, Dan A. Simovici