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AI
2002
Springer
14 years 9 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»
14 years 9 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
JILP
2000
103views more  JILP 2000»
14 years 9 months ago
Comparing and Combining Profiles
How much do two profiles of the same program differ? When has a profile changed enough to warrant reexamination of the profiled program? And how should two or more profiles be com...
Serap A. Savari, Cliff Young
GRAMMARS
1998
111views more  GRAMMARS 1998»
14 years 9 months ago
Quantitative Comparison of Languages
From the perspective of the linguist, the theory of formal languages serves as an abstract model to address issues such as complexity, learnability, information content, etc. which...
András Kornai
CSCW
1999
ACM
14 years 9 months ago
Layers of Silence, Arenas of Voice: The Ecology of Visible and Invisible Work
No work is inherently either visible or invisible. We always "see" work through a selection of indicators: straining muscles, finished artifacts, a changed state of affai...
Susan Leigh Star, Anselm Strauss
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