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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
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
IPPS
2000
IEEE
13 years 9 months ago
Optimal on Demand Packet Scheduling in Single-Hop Multichannel Communication Systems
In this paper, we study the problem of on demand minimum length packet scheduling in single-hop multichannel systems. Examples of these systems are those centered around switching...
Maurizio A. Bonuccelli, Susanna Pelagatti
ICANN
2005
Springer
13 years 10 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
SPAA
2003
ACM
13 years 10 months ago
Online oblivious routing
We consider an online version of the oblivious routing problem. Oblivious routing is the problem of picking a routing between each pair of nodes (or a set of ows), without knowled...
Nikhil Bansal, Avrim Blum, Shuchi Chawla, Adam Mey...