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» Reformulating Constraint Models Using Input Data
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IOR
2010
128views more  IOR 2010»
14 years 7 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 1 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
MOBICOM
2005
ACM
15 years 3 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 2 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
WAPCV
2004
Springer
15 years 3 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