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ICMLC
2005
Springer
14 years 2 months ago
Adaptive Online Multi-stroke Sketch Recognition Based on Hidden Markov Model
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
Zhengxing Sun, Wei Jiang, Jianyong Sun
IWIA
2003
IEEE
14 years 2 months ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
UAI
2008
13 years 10 months ago
Model-Based Bayesian Reinforcement Learning in Large Structured Domains
Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
Stéphane Ross, Joelle Pineau
AAMAS
2000
Springer
13 years 8 months ago
Rational Coordination in Multi-Agent Environments
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents, and present a framework that uses this paradigm t...
Piotr J. Gmytrasiewicz, Edmund H. Durfee
ICASSP
2009
IEEE
14 years 23 days ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...