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» Learning Gaussian processes from multiple tasks
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GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
15 years 8 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
15 years 1 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...
DASIP
2010
14 years 10 months ago
High level design space exploration of RVC codec specifications for multi-core heterogeneous platforms
Nowadays, the design flow of complex signal processing embedded systems starts with a specification of the application by means of a large and sequential program (usually in C/C++...
Christophe Lucarz, Ghislain Roquier, Marco Mattave...
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TRECVID
2008
15 years 4 months ago
LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
COMSIS
2011
14 years 6 months ago
Ontology-based multi-label classification of economic articles
The paper presents an approach to the task of automatic document categorization in the field of economics. Since the documents can be annotated with multiple keywords (labels), we ...
Sergeja Vogrincic, Zoran Bosnic