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JCB
2006
215views more  JCB 2006»
15 years 7 months ago
Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs)
Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e., segmentation con...
Yan Liu 0002, Jaime G. Carbonell, Peter Weigele, V...
ICML
2007
IEEE
16 years 8 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
16 years 2 months ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic
GCC
2003
Springer
16 years 22 days ago
Modelling Cooperative Multi-agent Systems
Cooperative computing is becoming inevitable with the emerging of service-oriented computing and GRID becoming a ubiquitous computing resource. It is widely recognized that agent t...
Lijun Shan, Hong Zhu
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
16 years 10 days ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...