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» A Multi-Resolution Relational Data Model
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TITS
2008
96views more  TITS 2008»
15 years 3 months ago
A Sampling Theorem Approach to Traffic Sensor Optimization
Abstract--With the objective of minimizing the total cost, which includes both sensor and congestion costs, the authors adopted a novel sampling theorem approach to address the pro...
Woei Ling Leow, Daiheng Ni, Hossein Pishro-Nik
142
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PVLDB
2008
146views more  PVLDB 2008»
15 years 2 months ago
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an algorithm that mitigates those risks. A network consists of entities connected by links repres...
Michael Hay, Gerome Miklau, David Jensen, Donald F...
DCOSS
2010
Springer
15 years 8 months ago
Tables: A Spreadsheet-Inspired Programming Model for Sensor Networks
Abstract. Current programming interfaces for sensor networks often target experienced developers and lack important features. Tables is a spreadsheet inspired programming environme...
James Horey, Eric Nelson, Arthur B. Maccabe
NIPS
2001
15 years 4 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
138
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ICDE
2009
IEEE
155views Database» more  ICDE 2009»
15 years 10 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...