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» Reformulating Constraint Models Using Input Data
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IOR
2010
128views more  IOR 2010»
15 years 1 months ago
Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
The paper considers a stylized model of a dynamic assortment optimization problem, where given a limited capacity constraint, we must decide the assortment of products to offer to...
Paat Rusmevichientong, Zuo-Jun Max Shen, David B. ...
ESEM
2007
ACM
15 years 8 months ago
An Approach to Global Sensitivity Analysis: FAST on COCOMO
There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data coll...
Stefan Wagner
133
Voted
MOBICOM
2005
ACM
15 years 10 months ago
An analytical model for the dimensioning of a GPRS/EDGE network with a capacity constraint on a group of cells
This paper is a contribution to the generic problem of having simple and accurate models to dimension radio cells with data traffic on a GPRS or EDGE network. It addresses the iss...
Georges Nogueira, Bruno Baynat, Pierre Eisenmann
PODS
1999
ACM
160views Database» more  PODS 1999»
15 years 9 months ago
Queries with Incomplete Answers over Semistructured Data
Semistructured data occur in situations where information lacks a homogeneous structure and is incomplete. Yet, up to now the incompleteness of information has not been re ected b...
Yaron Kanza, Werner Nutt, Yehoshua Sagiv
142
Voted
WAPCV
2004
Springer
15 years 10 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark