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» Using Classifiers to Solve Warehouse Location Problems
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ICDAR
2005
IEEE
15 years 3 months ago
A Hierarchical Classifier Using New Support Vector Machine
A binary hierarchical classifier is proposed to solve the multi-class classification problem. We also require rejection of non-target inputs, which thus producing a very difficult...
Yu-Chiang Frank Wang, David Casasent
PAM
2012
Springer
13 years 5 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
ICML
2000
IEEE
15 years 10 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
MCS
2004
Springer
15 years 3 months ago
An Empirical Comparison of Hierarchical vs. Two-Level Approaches to Multiclass Problems
The ECOC framework provides a powerful and popular method for solving multiclass problems using a multitude of binary classifiers. We had recently introduced the Binary Hierarchica...
Suju Rajan, Joydeep Ghosh
TRANSCI
2011
80views more  TRANSCI 2011»
14 years 4 months ago
The Dynamic Uncapacitated Hub Location Problem
This paper presents a dynamic (or multi-period) hub location problem. It proposes a branch-and-bound algorithm that uses a Lagrangean relaxation to obtain lower and upper bounds a...
Ivan Contreras, Jean-François Cordeau, Gilb...