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» Learning Gaussian processes from multiple tasks
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EMO
2006
Springer
113views Optimization» more  EMO 2006»
15 years 7 months ago
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
Abstract. Optimization in changing environment is a challenging task, especially when multiple objectives are to be optimized simultaneously. The basic idea to address dynamic opti...
Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sen...
152
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CLEF
2007
Springer
15 years 9 months ago
A Lexical Approach for Spanish Question Answering
This paper discusses our system’s results at the Spanish Question Answering task of CLEF 2007. Our system is centered in a full data-driven approach that combines information ret...
Alberto Téllez-Valero, Antonio Juáre...
161
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ICASSP
2011
IEEE
14 years 6 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
122
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ECIS
2003
15 years 4 months ago
From traditional to virtual organisation: implications for work unit boundaries
Boundary and virtual organisation theory were used to study the implications of organisation level virtualisation for work units. A single case study in a geographically dispersed...
Christopher J. Hemingway, Karin Breu
153
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JMM2
2008
124views more  JMM2 2008»
15 years 3 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang