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AI
2002
Springer
13 years 10 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
MANSCI
2007
100views more  MANSCI 2007»
13 years 10 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
2004
Springer
142views Education» more  CORR 2004»
13 years 9 months ago
Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies
: Grid is an infrastructure that involves the integrated and collaborative use of computers, networks, databases and scientific instruments owned and managed by multiple organizati...
Parvin Asadzadeh, Rajkumar Buyya, Chun Ling Kei, D...
ALGORITHMICA
2000
125views more  ALGORITHMICA 2000»
13 years 9 months ago
Mobile Robot Self-Localization without Explicit Landmarks
Localization is the process of determining the robot's location within its environment. More precisely, it is a procedure which takes as input a geometric map, a current estim...
R. G. Brown, Bruce Randall Donald
CORR
1999
Springer
67views Education» more  CORR 1999»
13 years 9 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh