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AAAI
1998
15 years 5 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
140
Voted
SODA
2003
ACM
158views Algorithms» more  SODA 2003»
15 years 5 months ago
Comparing top k lists
Motivated by several applications, we introduce various distance measures between “top k lists.” Some of these distance measures are metrics, while others are not. For each of...
Ronald Fagin, Ravi Kumar, D. Sivakumar
DMDW
2000
173views Management» more  DMDW 2000»
15 years 5 months ago
A quality-based framework for physical data warehouse design
Data warehousing is a software infrastructure which supports OLAP applications by providing a collection of tools which allow data extraction and cleaning, data integration and ag...
Mokrane Bouzeghoub, Zoubida Kedad
DMDW
2000
121views Management» more  DMDW 2000»
15 years 5 months ago
From enterprise models to dimensional models: a methodology for data warehouse and data mart design
This paper describes a method for developing dimensional models from traditional Entity Relationship models. This can be used to design data warehouses and data marts based on ent...
Daniel L. Moody, Mark A. R. Kortink
HPN
1998
15 years 5 months ago
Differentiated Services: A New Approach for Quality of Service in the Internet
With the grown popularity of the Internet and the increasing use of business and multimedia applications the users' demand for higher and more predictable quality of service ...
Florian Baumgartner, Torsten Braun, Pascal Habegge...