691 search results - page 19 / 139 » Using Classifiers to Solve Warehouse Location Problems |
108
Voted
TC
2002
15 years 2 months ago
2002
We present novel grid coverage strategies for effective surveillance and target location in distributed sensor networks. We represent the sensor field as a grid (two or three-dimen...
113
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FLAIRS
2001
15 years 3 months ago
2001
Theoretically well-founded, Support Vector Machines (SVM)are well-knownto be suited for efficiently solving classification problems. Althoughimprovedgeneralization is the maingoal...
134
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ICMLA
2010
15 years 14 days ago
2010
Finding the location of binding sites in DNA is a difficult problem. Although the location of some binding sites have been experimentally identified, other parts of the genome may ...
135
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ICANN
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
121
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EOR
2007
15 years 2 months ago
2007
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...