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ECAI
2004
Springer
15 years 8 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
147
Voted
GECCO
2004
Springer
327views Optimization» more  GECCO 2004»
15 years 8 months ago
Evolution, Robustness, and Adaptation of Sidewinding Locomotion of Simulated Snake-Like Robot
Inspired by the efficient method of locomotion of the rattlesnake Crotalus cerastes, the objective of this work is automatic design through genetic programming, of the fastest poss...
Ivan Tanev, Thomas S. Ray, Andrzej Buller
ICSOC
2004
Springer
15 years 8 months ago
Knowledge-driven interactions with services across ad hoc networks
Service oriented computing, with its aim of unhindered interoperability, is an appropriate paradigm for ad hoc networks, which are characterized by physical mobility of heterogeno...
Rohan Sen, Radu Handorean, Gruia-Catalin Roman, Gr...
125
Voted
IDEAL
2004
Springer
15 years 8 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
149
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MATA
2004
Springer
199views Communications» more  MATA 2004»
15 years 8 months ago
Configuration Management for Networked Reconfigurable Embedded Devices
Distribution of product updates to embedded devices can increase product lifetimes for consumers and boost revenues for vendors. Dynamic provisioning of application solutions to e...
Timothy O'Sullivan, Richard Studdert
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