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ACL
2006
15 years 1 months ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
SOUPS
2006
ACM
15 years 6 months ago
An empirical study of natural language parsing of privacy policy rules using the SPARCLE policy workbench
Today organizations do not have good ways of linking their written privacy policies with the implementation of those policies. To assist organizations in addressing this issue, ou...
Carolyn Brodie, Clare-Marie Karat, John Karat
125
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IEEECIT
2006
IEEE
15 years 6 months ago
Adaptive Routing for Sensor Networks using Reinforcement Learning
Efficient and robust routing is central to wireless sensor networks (WSN) that feature energy-constrained nodes, unreliable links, and frequent topology change. While most existi...
Ping Wang, Ting Wang
97
Voted
AIEDAM
2004
96views more  AIEDAM 2004»
15 years 10 days ago
Learning while designing
: This paper reports on preliminary results of an explorative study of a protocol analysis of team learning while designing using in-situ data. Two measurement-based frameworks are...
Gourabmoy Nath, John S. Gero
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 6 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint