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AI
2011
Springer
15 years 1 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
AROBOTS
2011
15 years 1 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
15 years 1 months ago
Consensus on asynchronous communication networks in presence of external input
This paper presents a class of multi-agent systems where the state of each agent is driven by its own local protocol, and by exogenous time-varying input signal. These inputs may r...
C. Pilotto, K. M. Chandy, J. White
COGSR
2011
88views more  COGSR 2011»
15 years 1 months ago
Reactive goal management in a cognitive architecture
Goals play an important role in human cognition. Different aspects of human mind influence the generation of goals they pursue, and the goals guide their behaviors. In psychology...
Dongkyu Choi
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
15 years 1 months ago
Online Convex Programming and regularization in adaptive control
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...
Maxim Raginsky, Alexander Rakhlin, Serdar Yük...