Support vector regression for determining the minimum zone sphericity, The International Journal of Advanced Manufacturing Technology, vol.37, issue.7, pp.916-923, 2008. ,
DOI : 10.1007/s00170-006-0774-1
Online learning and stochastic approximations In On-line learning in neural networks. Papers from the workshop, pp.9-42, 1997. ,
The tradeoffs of large scale learning, Advances in neural information processing systems 20, pp.161-168, 2007. ,
Convex optimization, 2004. ,
Parallel Sequential Minimal Optimization for the Training of Support Vector Machines, IEEE Transactions on Neural Networks, vol.17, issue.4, pp.1039-1049, 2006. ,
DOI : 10.1109/TNN.2006.875989
Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection, Proceedings of the fourth international conference on knowledge discovery and data mining, pp.164-168, 1998. ,
Bi-level stochastic gradient for large scale support vector machine, Neurocomputing, vol.153, 2014. ,
DOI : 10.1016/j.neucom.2014.11.025
URL : https://hal.archives-ouvertes.fr/hal-01354854
An introduction to support vector machines and other kernel-based learning methods, 2001. ,
DOI : 10.1017/CBO9780511801389
Training invariant support vector machines, Machine Learning, pp.161-1901012454411458, 2002. ,
Selforganizing software. From natural to artificial adaptation, pp.978-981, 2011. ,
Self-adaptive support vector machines: modelling and experiments, Computational Management Science, vol.11, issue.1, pp.41-51, 2009. ,
DOI : 10.1007/s10287-008-0071-6
Breast Tumor Susceptibility to Chemotherapy Via Support Vector Machines, Computational Management Science, vol.43, issue.4, pp.103-112, 2006. ,
DOI : 10.1007/s10287-005-0002-8
Making Self-Organising Adaptive Multiagent Systems Work, Methodologies and software engineering for agent systems, 2004. ,
DOI : 10.1007/1-4020-8058-1_20
Mathematical Foundations for Form Inspection and Adaptive Sampling, Journal of Manufacturing Science and Engineering, vol.131, issue.4, p.131, 2009. ,
DOI : 10.1115/1.3160582
Multiple kernel learning algorithms, Journal of Machine Learning Research, vol.12, pp.2211-2268, 2011. ,
A practical guide to model selection, Proceedings of the machine learning summer school springer text in statistics, 2009. ,
Model selection: Beyond the bayesian/frequentist divide, Journal of Machine Learning Research, vol.11, pp.61-87, 2010. ,
The entire regularization path for the support vector machine, Journal of Machine Learning Research, vol.5, pp.1391-1415, 2003. ,
The elements of statistical learning Springer series in statistics, 2009. ,
An adaptive multi-agent system for self-organizing continuous optimization, Thèse de doctorat, 2013. ,
A Natural Formalism and a Multi-agent Algorithm for Integrative Multidisciplinary Design Optimization, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013. ,
DOI : 10.1109/WI-IAT.2013.103
Bilevel model selection for support vector machines, Data mining and mathematical programming, pp.129-158, 2008. ,
Breast cancer survival and chemotherapy: A support vector machine analysis DIMACS ser. discrete math, Discrete mathematical problems with medical applications, pp.1-10, 1999. ,
Principles and Properties of a MAS Learning Algorithm: A Comparison with Standard Learning Algorithms Applied to Implicit Feedback Assessment, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, pp.228-23510, 0190. ,
DOI : 10.1109/WI-IAT.2011.190
Learning with kernels: Support vector machines, regularization, optimization, and beyond, 2001. ,
Pegasos, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.3-30, 2011. ,
DOI : 10.1145/1273496.1273598
Active learning with support vector machines for tornado prediction. Computational science?ICCS, pp.1130-1137, 2007. ,
Statistical learning theory Adaptive and learning systems for signal processing, communications, and control, 1998. ,
Multiagent systems. A modern approach to distributed artificial systems, 1999. ,