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SP
1999
IEEE
194views Security Privacy» more  SP 1999»
15 years 1 months ago
Detecting Intrusions using System Calls: Alternative Data Models
Intrusion detection systems rely on a wide variety of observable data to distinguish between legitimate and illegitimate activities. In this paper we study one such observable-seq...
Christina Warrender, Stephanie Forrest, Barak A. P...
NIPS
2007
14 years 11 months ago
Bayes-Adaptive POMDPs
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
64
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ICDAR
2003
IEEE
15 years 2 months ago
Generation of Handwritten Characters with Bayesian network based On-line Handwriting Recognizers
In this paper, we propose a new character generation method from on-line handwriting recognizers based on Bayesian networks. On-line handwriting recognizers are trained with handw...
Hyun-Il Choi, Sung-Jung Cho, Jin Hyung Kim
ICNC
2005
Springer
15 years 3 months ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
NIPS
2008
14 years 11 months ago
Partially Observed Maximum Entropy Discrimination Markov Networks
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
Jun Zhu, Eric P. Xing, Bo Zhang