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» Learning Qualitative Models of Dynamic Systems
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ICML
2006
IEEE
14 years 8 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
AGENTS
1999
Springer
13 years 11 months ago
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams
Increasingly, multi-agent systems are being designed for a variety of complex, dynamic domains. E ective agent interactions in such domains raise some of most fundamental research...
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal...
CDC
2008
IEEE
14 years 1 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
WACV
2005
IEEE
14 years 1 months ago
Combining View-Based and Model-Based Tracking of Articulated Human Movements
Many existing systems for human body tracking are based on dynamic model-based tracking that is driven by local image features. Alternatively, within a view-based approach, tracki...
Cristóbal Curio, Martin A. Giese
FM
2003
Springer
146views Formal Methods» more  FM 2003»
14 years 19 days ago
Interacting State Machines for Mobility
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...
Thomas A. Kuhn, David von Oheimb