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ANSS
1996
IEEE
14 years 28 days ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...
ACSAC
2007
IEEE
14 years 24 days ago
Efficient Detection of Delay-Constrained Relay Nodes
Relay nodes are a potential threat to networks since they are used in many malicious situations like stepping stone attacks, botnet communication, peer-to-peer streaming etc. Quic...
Baris Coskun, Nasir D. Memon
APGV
2007
ACM
130views Visualization» more  APGV 2007»
14 years 23 days ago
A perceptual approach to trimming unstructured lumigraphs
We present a novel perceptual method to reduce the visual redundancy of unstructured lumigraphs, an image based representation designed for interactive rendering. We combine featu...
Yann Morvan, Carol O'Sullivan
ATAL
2007
Springer
14 years 23 days 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
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 19 days ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa