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WEBENG
2001
Springer
14 years 1 months ago
Development and Evolution of Web-Applications Using the WebComposition Process Model
From a software engineering perspective the World Wide Web is a new application platform. The implementation model that the Web is based on makes it difficult to apply classic proc...
Martin Gaedke, Guntram Gräf
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
14 years 3 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
ICMCS
2006
IEEE
125views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Modeling Adaptive Media Processing Workflows
ARIA, ARchitecture for Interactive Arts, is a middleware to process, filter, and fuse sensory inputs and actuate responses in real-time. An ARIA media processing workflow descri...
K. Selçuk Candan, Gisik Kwon, Lina Peng, Ma...
AAAI
2010
13 years 10 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 3 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox