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CORR
2010
Springer
207views Education» more  CORR 2010»
14 years 9 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
IEE
2007
54views more  IEE 2007»
14 years 9 months ago
WebML modelling in UML
: In recent years, we have witnessed how the Web Engineering community has started using the standard unified modelling language (UML) notation, techniques and supporting tools fo...
Nathalie Moreno, Piero Fraternali, Antonio Valleci...
WABI
2009
Springer
128views Bioinformatics» more  WABI 2009»
15 years 4 months ago
Improving Inference of Transcriptional Regulatory Networks Based on Network Evolutionary Models
Abstract. Computational inference of transcriptional regulatory networks remains a challenging problem, in part due to the lack of strong network models. In this paper we present e...
Xiuwei Zhang, Bernard M. E. Moret
JGO
2011
89views more  JGO 2011»
14 years 15 days ago
Model building using bi-level optimization
Abstract In many problems from different disciplines such as engineering, physics, medicine, and biology, a series of experimental data is used in order to generate a model that ca...
Georges K. Saharidis, Ioannis P. Androulakis, Mari...
MLMI
2007
Springer
15 years 3 months ago
Modeling Vocal Interaction for Segmentation in Meeting Recognition
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
Kornel Laskowski, Tanja Schultz