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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
16 years 10 days ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul
ASSETS
2008
ACM
15 years 8 months ago
Technology for just-in-time in-situ learning of facial affect for persons diagnosed with an autism spectrum disorder
Many first-hand accounts from individuals diagnosed with autism spectrum disorders (ASD) highlight the challenges inherent in processing high-speed, complex, and unpredictable soc...
Miriam Madsen, Rana El Kaliouby, Matthew Goodwin, ...
CHI
2011
ACM
14 years 10 months ago
The mathematical imagery trainer: from embodied interaction to conceptual learning
We introduce an embodied-interaction instructional design, the Mathematical Imagery Trainer (MIT), for helping young students develop grounded understanding of proportional equiva...
Mark Howison, Dragan Trninic, Daniel Reinholz, Dor...
MMM
2010
Springer
230views Multimedia» more  MMM 2010»
16 years 3 months ago
Learning Landmarks by Exploiting Social Media
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Y...