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» Symmetry in Decision Evaluation
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IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
16 years 25 days ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
CVPR
2012
IEEE
13 years 9 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
AAAI
2012
13 years 9 months ago
POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Carlos Sarraute, Olivier Buffet, Jörg Hoffman...
AAAI
2012
13 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
ASPDAC
2004
ACM
107views Hardware» more  ASPDAC 2004»
15 years 12 months ago
Minimization of the expected path length in BDDs based on local changes
— In many verification tools methods for functional simulation based on reduced ordered Binary Decision Diagrams (BDDs) are used. The evaluation time for a BDD can be crucial an...
Rüdiger Ebendt, Wolfgang Günther, Rolf D...