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ALENEX
2008
133views Algorithms» more  ALENEX 2008»
13 years 6 months ago
Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
Shawn O'Neil, Amitabh Chaudhary
FAW
2010
Springer
203views Algorithms» more  FAW 2010»
13 years 3 months ago
Online Algorithms for the Newsvendor Problem with and without Censored Demands
The newsvendor problem describes the dilemma of a newspaper salesman—how many papers should he purchase each day to resell, when he doesn’t know the demand? We develop approach...
Peter Sempolinski, Amitabh Chaudhary
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
ICML
2006
IEEE
14 years 5 months ago
Learning algorithms for online principal-agent problems (and selling goods online)
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
Vincent Conitzer, Nikesh Garera
SAC
2005
ACM
13 years 10 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra