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» An Evolutionary Approach for Learning Motion Class Patterns
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ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
14 years 29 days ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun
MCS
2004
Springer
14 years 1 months ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
KBS
1998
122views more  KBS 1998»
13 years 7 months ago
Concept formation in design
: This paper presents a computationally tractable view on where simple design concepts come from by proposing a paradigm for the formation of design concepts based on the emergence...
John S. Gero
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
13 years 11 months ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles
EUROCAST
2007
Springer
132views Hardware» more  EUROCAST 2007»
13 years 11 months ago
Using Omnidirectional BTS and Different Evolutionary Approaches to Solve the RND Problem
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...