Proceedings of the 3rd International Conference on Fibre Reinforced Composites, University of Liverpool, 23–25 March 1988

3rd International Conference on Fibre Re

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✍ N.L. Hancox 📂 Article 📅 1988 🏛 Elsevier Science ⚖ 247 KB

FRC '90: 4th International Conference on

FRC '90: 4th International Conference on fibre reinforced composites ‘engineering with confidence’: Liverpool, UK, 27–29 March 1990 Organized by: Department of Materials Science and Metallurgy, University of Liverpool

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[ACM Press the 3rd International Confere

[ACM Press the 3rd International Conference - Samos, Greece (2010.06.23-2010.06.25)] Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '10 - Misco

✍ Dou, Adam; Kalogeraki, Vana; Gunopulos, Dimitrios; Mielikainen, Taneli; Tuulos, 📂 Article 📅 2010 🏛 ACM Press 🌐 English ⚖ 140 KB

The 3rd International Conference On Pervasive Technologies Related To Assistive Environments Jun 23, 2010-jun 25, 2010 Samos, Greece. You Can View More Information About This Proceeding And All Of Acm�s Other Published Conference Proceedings From The Acm Digital Library: Http://www.acm.org/dl.

[ACM Press the 23rd international confer

[ACM Press the 23rd international conference - Pittsburgh, Pennsylvania (2006.06.25-2006.06.29)] Proceedings of the 23rd international conference on Machine learning - ICML '06 - Dynamic topic models

✍ Blei, David M.; Lafferty, John D. 📂 Article 📅 2006 🏛 ACM Press ⚖ 406 KB

[ACM Press the 23rd international confer

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✍ Archambeau, Cédric; Delannay, Nicolas; Verleysen, Michel 📂 Article 📅 2006 🏛 ACM Press ⚖ 264 KB

[ACM Press the 23rd international confer

[ACM Press the 23rd international conference - Pittsburgh, Pennsylvania (2006.06.25-2006.06.29)] Proceedings of the 23rd international conference on Machine learning - ICML '06 - Robust probabilistic projections

✍ Archambeau, Cédric; Delannay, Nicolas; Verleysen, Michel 📂 Article 📅 2006 🏛 ACM Press ⚖ 264 KB

Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, probabilistic reformulations of these methods have been proposed . They are based on a Gaussian density model and are ther