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RBAC
2000
129views more  RBAC 2000»
15 years 7 months ago
Enabling technologies for role based online decision engines
: Enabling Technologies for Role Based Online Decision Engines Thomas Hildmann, Thomas Gebhardt 22-Feb-2000 The goal of our work at the Technical University of Berlin is to develop...
Thomas Gebhardt, Thomas Hildmann
PR
2008
97views more  PR 2008»
15 years 6 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
ICML
1995
IEEE
16 years 7 months ago
Learning to Make Rent-to-Buy Decisions with Systems Applications
In the single rent-to-buy decision problem, without a priori knowledge of the amount of time a resource will be used we need to decide when to buy the resource, given that we can ...
P. Krishnan, Philip M. Long, Jeffrey Scott Vitter
ICML
1999
IEEE
16 years 7 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
SODA
2010
ACM
190views Algorithms» more  SODA 2010»
16 years 3 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...