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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 11 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
CVPR
2010
IEEE
15 years 10 months ago
YouTubeCat: Learning to Categorize Wild Web Videos
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the pres...
Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, ...
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CIARP
2004
Springer
15 years 10 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
IRI
2003
IEEE
15 years 10 months ago
Generalizing Interface Design Knowledge: Lessons Learned from Developing a Claims Library
The experience of preparing interface design knowledge to be reusable allows reflection on the process, potential, and general challenges of effectively and efficiently using this...
Catherine Payne, C. F. Allgood, Christa M. Chewar,...
ER
1998
Springer
100views Database» more  ER 1998»
15 years 9 months ago
Designing Well-Structured Websites: Lessons to Be Learned from Database Schema Methodology
Abstract. In this paper we argue that many of the problems one may experience while visiting websites today may be avoided if their builders adopt a proper methodology for designin...
Olga De Troyer