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EOR
2010
99views more  EOR 2010»
15 years 4 months ago
Min sum clustering with penalties
Traditionally, clustering problems are investigated under the assumption that all objects must be clustered. A shortcoming of this formulation is that a few distant objects, calle...
Refael Hassin, Einat Or
AMC
2006
114views more  AMC 2006»
15 years 4 months ago
A multi-objective resource allocation problem in dynamic PERT networks
We develop a multi-objective model for the resource allocation problem in a dynamic PERT network, where the activity durations are exponentially distributed random variables and t...
Amir Azaron, Reza Tavakkoli-Moghaddam
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 4 months ago
On optimal quantization rules for some sequential decision problems
We consider the problem of sequential decentralized detection, a problem that entails several interdependent choices: the choice of a stopping rule (specifying the sample size), a...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
JMLR
2006
145views more  JMLR 2006»
15 years 4 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
ML
2008
ACM
162views Machine Learning» more  ML 2008»
15 years 4 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch