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» Detecting Execution Failures Using Learned Action Models
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HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 1 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
ICDCS
2003
IEEE
14 years 1 months ago
Elastic Vector Time
In recent years there has been an increasing demand to build ”soft” real-time applications on top of asynchronous distributed systems. Designing and implementing such applicat...
Christof Fetzer, Michel Raynal
ATAL
2007
Springer
13 years 12 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
IROS
2008
IEEE
117views Robotics» more  IROS 2008»
14 years 2 months ago
Towards a cognitive robot that uses internal rehearsal to learn affordance relations
—This paper introduces a new approach to develop robots that can learn general affordance relations from their experiences. Our approach is a part of larger efforts to develop a ...
Erdem Erdemir, Carl B. Frankel, Kazuhiko Kawamura,...
ICCBR
2009
Springer
14 years 2 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...