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» Maximizing expected utility over a knapsack constraint
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ICML
2009
IEEE
14 years 5 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
CMOT
1999
105views more  CMOT 1999»
13 years 4 months ago
Friendship Networks Through Time: An Actor-Oriented Dynamic Statistical Network Model
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
IOR
2010
128views more  IOR 2010»
13 years 2 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. ...
INFOCOM
2010
IEEE
13 years 3 months ago
Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management
Abstract—This paper investigates pricing of Internet connectivity services in the context of a monopoly ISP selling broadband access to consumers. We first study the optimal com...
Prashanth Hande, Mung Chiang, A. Robert Calderbank...
FLAIRS
2008
13 years 7 months ago
Second-Order Risk Constraints
This paper discusses how numerically imprecise information can be modelled and how a risk evaluation process can be elaborated by integrating procedures for numerically imprecise ...
Love Ekenberg, Aron Larsson, Mats Danielson