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» Approximate Learning of Dynamic Models
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151
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KR
2004
Springer
15 years 10 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
165
Voted
FUIN
2006
160views more  FUIN 2006»
15 years 4 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
ICPR
2010
IEEE
15 years 10 months ago
Sparse Coding of Linear Dynamical Systems with an Application to Dynamic Texture Recognition
Given a sequence of observable features of a linear dynamical system (LDS), we propose the problem of finding a representation of the LDS which is sparse in terms of a given dict...
Bernard Ghanem, Narendra Ahuja
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
15 years 11 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar
COMCOM
2008
127views more  COMCOM 2008»
15 years 4 months ago
A dynamic routing protocol for keyword search in unstructured peer-to-peer networks
The idea of building query-oriented routing indices has changed the way of improving keyword search efficiency from the basis as it can learn the content distribution from the que...
Cong Shi, Dingyi Han, Yuanjie Liu, Shicong Meng, Y...