Léon Bottou: Difference between revisions
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'''Léon Bottou''' is a researcher best known for his work in [[machine learning]] and [[data compression]] |
'''Léon Bottou''' is a researcher best known for his work in [[machine learning]] and [[data compression]]. His work presents [[stochastic gradient descent]] as a fundamental learning algorithm. He is also one of the main creators of the [[DjVu]] image compression technology (together with [[Yann LeCun]] and Patrick Haffner), and the maintainer of DjVuLibre[http://djvu.sf.net], the open source implementation of DjVu. |
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Léon Bottou was born in France in 1965. He obtained the Diplôme d'Ingénieur from [[Ecole Polytechnique]] in 1987, and a PhD from [[Université Paris-Sud]] in 1991. He then joined the Adaptive Systems Research Department at [[AT&T]] [[Bell Laboratories]] in Holmdel, NJ where he collaborated with [[Vladimir Vapnik]] on local learning algorithms. in 1992, he returned to France and founded Neuristique S.A., a company that produced machine learning and one of the first data mining software. in 1995, he returned to Bell Laboratories, where he developed a number of new machine learning methods, such as Graph Transformer Networks (similar to [[conditional random field]]), and applied them to handwriting recognition and OCR. The bank check recognition system that he helped develop was widely deployed by NCR and other companies, reading over 10% of all the checks in the US in the late 90s and early 00s. |
Léon Bottou was born in France in 1965. He obtained the Diplôme d'Ingénieur from [[Ecole Polytechnique]] in 1987, and a PhD from [[Université Paris-Sud]] in 1991. He then joined the Adaptive Systems Research Department at [[AT&T]] [[Bell Laboratories]] in Holmdel, NJ where he collaborated with [[Vladimir Vapnik]] on local learning algorithms. in 1992, he returned to France and founded Neuristique S.A., a company that produced machine learning and one of the first data mining software. in 1995, he returned to Bell Laboratories, where he developed a number of new machine learning methods, such as Graph Transformer Networks (similar to [[conditional random field]]), and applied them to handwriting recognition and OCR. The bank check recognition system that he helped develop was widely deployed by NCR and other companies, reading over 10% of all the checks in the US in the late 90s and early 00s. |
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In 1996, he joined [[AT&T Labs]] and worked primarily on the [[DjVu]] image compression technology, used by many websites, notably the [[Internet Archive]], to distribute scanned documents. Since 2002, he has been a research scientist at NEC Laboratories in Princeton, NJ, where he has focused on the theory and practice of machine learning with very large-scale datasets, on-line learning, and stochastic optimization methods. He developed the open source software LaSVM [http://leon.bottou.org/projects/lasvm] for fast large-scale [[support vector machine]], and [[stochastic gradient descent]] software for training linear SVM and Conditional Random Fields [http://leon.bottou.org/projects/sgd]. |
In 1996, he joined [[AT&T Labs]] and worked primarily on the [[DjVu]] image compression technology, used by many websites, notably the [[Internet Archive]], to distribute scanned documents. Since 2002, he has been a research scientist at NEC Laboratories in Princeton, NJ, where he has focused on the theory and practice of machine learning with very large-scale datasets, on-line learning, and stochastic optimization methods. He developed the open source software LaSVM [http://leon.bottou.org/projects/lasvm] for fast large-scale [[support vector machine]], and [[stochastic gradient descent]] software for training linear SVM and Conditional Random Fields [http://leon.bottou.org/projects/sgd]. |
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He is associate editor of the Journal of Machine Learning Research, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition Letters. |
He is associate editor of the Journal of Machine Learning Research, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition Letters. He is a scientific advisor of [[KXEN Inc.]]. |
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==External links== |
==External links== |
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Revision as of 10:05, 8 July 2009
Léon Bottou is a researcher best known for his work in machine learning and data compression. His work presents stochastic gradient descent as a fundamental learning algorithm. He is also one of the main creators of the DjVu image compression technology (together with Yann LeCun and Patrick Haffner), and the maintainer of DjVuLibre[1], the open source implementation of DjVu.
Léon Bottou was born in France in 1965. He obtained the Diplôme d'Ingénieur from Ecole Polytechnique in 1987, and a PhD from Université Paris-Sud in 1991. He then joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, NJ where he collaborated with Vladimir Vapnik on local learning algorithms. in 1992, he returned to France and founded Neuristique S.A., a company that produced machine learning and one of the first data mining software. in 1995, he returned to Bell Laboratories, where he developed a number of new machine learning methods, such as Graph Transformer Networks (similar to conditional random field), and applied them to handwriting recognition and OCR. The bank check recognition system that he helped develop was widely deployed by NCR and other companies, reading over 10% of all the checks in the US in the late 90s and early 00s.
In 1996, he joined AT&T Labs and worked primarily on the DjVu image compression technology, used by many websites, notably the Internet Archive, to distribute scanned documents. Since 2002, he has been a research scientist at NEC Laboratories in Princeton, NJ, where he has focused on the theory and practice of machine learning with very large-scale datasets, on-line learning, and stochastic optimization methods. He developed the open source software LaSVM [2] for fast large-scale support vector machine, and stochastic gradient descent software for training linear SVM and Conditional Random Fields [3].
He is associate editor of the Journal of Machine Learning Research, the IEEE Transactions on Pattern Analysis and Machine Intelligence, and Pattern Recognition Letters. He is a scientific advisor of KXEN Inc..