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» A Framework for Exploring Optimization Properties
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ICRA
2006
IEEE
102views Robotics» more  ICRA 2006»
14 years 2 months ago
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates
— A robot exploring an environment can estimate its own motion and the relative positions of features in the environment. Simultaneous Localization and Mapping (SLAM) algorithms ...
Edwin Olson, John J. Leonard, Seth J. Teller
AUTOMATICA
2005
89views more  AUTOMATICA 2005»
13 years 8 months ago
Instrumental variable methods for closed-loop system identification
In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV framewor...
Marion Gilson, Paul M. J. Van den Hof
AIPS
2009
13 years 10 months ago
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
CEC
2010
IEEE
13 years 10 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 2 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer