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» Predictive Hebbian Learning
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128
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ICML
2005
IEEE
16 years 4 months ago
A support vector method for multivariate performance measures
This paper presents a Support Vector Method for optimizing multivariate nonlinear performance measures like the F1score. Taking a multivariate prediction approach, we give an algo...
Thorsten Joachims
111
Voted
ISBI
2008
IEEE
16 years 4 months ago
A fast and accurate tracking algorithm of left ventricles in 3D echocardiography
Tracking of left ventricles in 3D echocardiography is a challenging topic because of the poor quality of ultrasound images and the speed consideration. In this paper, a fast and a...
Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J....
SAC
2010
ACM
15 years 10 months ago
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ï¬...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato
178
Voted
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
150
Voted
ICMLA
2010
15 years 1 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...