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HICSS
1997
IEEE
131views Biometrics» more  HICSS 1997»
15 years 11 months ago
Conditional Market Segmentation by Neural Networks
An arti"cial neural network (ANN) algorithm is proposed that incorporates both market segmentation and discriminant (regression) analysis of the segments. The method simultan...
Martin Natter
206
Voted
ICML
2010
IEEE
15 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
178
Voted
ANOR
2002
88views more  ANOR 2002»
15 years 7 months ago
Multicriteria Semi-Obnoxious Network Location Problems (MSNLP) with Sum and Center Objectives
Locating a facility is often modeled as either the maxisum or the minisum problem, reflecting whether the facility is undesirable (obnoxious) or desirable. But many facilities are ...
Horst W. Hamacher, Martine Labbé, Stefan Ni...
255
Voted
QUESTA
2008
382views more  QUESTA 2008»
15 years 6 months ago
A note on stable flow-equivalent aggregation in closed networks
We introduce the Conditional Mean Value Analysis (CMVA) algorithm, an exact solution method for product-form load-dependent closed queueing networks that provides a numerically st...
Giuliano Casale
223
Voted
TPDS
2008
188views more  TPDS 2008»
15 years 7 months ago
Interference-Aware Joint Routing and TDMA Link Scheduling for Static Wireless Networks
We study efficient interference-aware joint routing and TDMA link scheduling for a multihop wireless network to maximize its throughput. Efficient link scheduling can greatly reduc...
Yu Wang 0003, Weizhao Wang, Xiang-Yang Li, Wen-Zha...