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» A Study of Empirical Learning for an Involved Problem
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ML
2008
ACM
134views Machine Learning» more  ML 2008»
14 years 11 months ago
Multilabel classification via calibrated label ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
Johannes Fürnkranz, Eyke Hüllermeier, En...
DSS
2007
120views more  DSS 2007»
14 years 11 months ago
Could the use of a knowledge-based system lead to implicit learning?
The primary objective of a knowledge-based system (KBS) is to use stored knowledge to provide support for decision-making activities. Empirical studies identify improvements in de...
Solomon R. Antony, Radhika Santhanam
ATAL
2004
Springer
15 years 5 months ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...
MANSCI
2007
100views more  MANSCI 2007»
14 years 11 months ago
Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
Companies such as Zara and World Co. have recently implemented novel product development processes and supply chain architectures enabling them to make more product design and ass...
Felipe Caro, Jérémie Gallien
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 6 months ago
Online Learning of Rested and Restless Bandits
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K...
Cem Tekin, Mingyan Liu