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» Using Classifiers to Solve Warehouse Location Problems
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ICML
2010
IEEE
14 years 11 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
AAAI
2004
14 years 11 months ago
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets
Given a noisy dataset, how to locate erroneous instances and attributes and rank suspicious instances based on their impacts on the system performance is an interesting and import...
Xingquan Zhu, Xindong Wu, Ying Yang
ANOR
2002
99views more  ANOR 2002»
14 years 9 months ago
An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results
We introduce a distribution center (DC) location model that incorporates working inventory and safety stock inventory costs at the distribution centers. In addition, the model inco...
Mark S. Daskin, Collette R. Coullard, Zuo-Jun Max ...
SAINT
2005
IEEE
15 years 3 months ago
Design and Evaluation of a Location-Based Virtual City System for Mobile Phones
We are developing a virtual city system with a model that consists of virtual architectural objects and virtual creatures, geographically overlaid onto the real world. People who ...
Hiroyuki Tarumi, Seiko Tokuda, Tomohiro Yasui, Kaz...
PAMI
2008
155views more  PAMI 2008»
14 years 9 months ago
Subclass Problem-Dependent Design for Error-Correcting Output Codes
A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word fo...
Sergio Escalera, David M. J. Tax, Oriol Pujol, Pet...