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IDA
2003
Springer
16 years 1 days ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
HT
2010
ACM
15 years 12 months ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
ESWS
2010
Springer
15 years 11 months ago
Aligning Large SKOS-Like Vocabularies: Two Case Studies
In this paper we build on our methodology for combining and selecting alignment techniques for vocabularies, with two alignment case studies of large vocabularies in two languages....
Anna Tordai, Jacco van Ossenbruggen, Guus Schreibe...
CEC
2009
IEEE
15 years 11 months ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2009
Springer
110views Optimization» more  GECCO 2009»
15 years 11 months ago
EMO shines a light on the holes of complexity space
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
Núria Macià, Albert Orriols-Puig, Es...