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The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning. For more workshop schedule information ... |
You are invited to view the Twenty-Third Annual Conference on Neural Information Processing Systems, which is the premier scientific meeting ... |
Modern society is increasingly reliant on our capability to automatically detect patterns in vast masses of data. This is affecting ... |
The 13th Machine Learning Summer School was held in Cambridge, UK. This year's edition was organized by the University of ... |
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) took place in ... |
Molecular biology and all the biomedical sciences are undergoing a true revolution as a result of the emergence and growing ... |
In 2009, three international conferences / workshops on learning from logical, relational, graph-based and probabilistic knowledge were co-located in Leuven. ... |
The 26th International Conference on Machine Learning (ICML 2009) will be organized in Montreal, Canada on June 14-18, 2009. ICML ... |
During recent years, the use of intelligent systems in the financial and economic industries have increased substantially, providing a new ... |
Different approaches to Brain-Computer Interfaces have been developed, each one with specific solutions that range from understanding and explaining cognitive ... |
Function approximation from noisy data is a central task in robot learning. Relevant problems include sensor modeling, manipulation, control, and ... |
The theme of this year's summer school is Theory and Practice of Computational Learning, to be held in conjunction with ... |
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Walter H. G. Lewin 79928 viewsMikaela Keller 39170 viewsSam Roweis 28198 viewsGilbert Strang 25908 viewsJure Leskovec 23741 viewsDonald Sadoway 16479 viewsErik Demaine 15851 viewsMichael Berthold 15595 viewsIsabelle Guyon 13617 viewsBernhard Schölkopf 13246 viewsDavid MacKay 13171 viewsJohn Shawe-Taylor 12659 viewsChih-Jen Lin 12470 viewsAlexander J. Smola 12441 viewsZoubin Ghahramani 12238 viewsCharles E. Leiserson 12169 viewsArthur Mattuck 11711 viewsMarko Grobelnik 11695 viewsTom Mitchell 11052 viewsFei-Fei Li 8674 viewsRobert A. Weinberg 8476 viewsChris Williams 7892 viewsNando de Freitas 7828 viewsUlrike von Luxburg 7803 viewsNoam Chomsky 7473 viewsProject summary - PASCAL NoE
PASCAL - Pattern Analysis, Statistical Modelling and Computational LearningThe objective is to build a Europe-wide Distributed Institute which will pioneer principled methods of pattern analysis, statistical modelling and computational learning as core enabling technologies for multimodal interfaces that are capable of natural and seamless interaction with and among individual human users. more information >>>
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SearchPoint is about searching in a new way<img src="http://searchpoint.ijs.si/images/logo.jpg" alt="SearchPoint"/> When we search for something, we are very used to the following: We write a query and a search engine returns a sorted list of pages. Since this works pretty well, SearchPoint also offers this basic functionality. So what is new? Well we are of a firm belief that for one query many different rankings should be ...
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NIPS 2009 WorkshopsTUTORIALS: more
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The 13th Machine Learning Summer SchoolThe 13th Machine Learning Summer School was held in Cambridge, UK. This year's edition was organized by the University of ...
Machine Learning Summer School on Theory and Practice of Computational LearningThe theme of this year's summer school is Theory and Practice of Computational Learning, to be held in conjunction with ...
Summer Schools in Logic and LearningThe Summer Schools in Logic and Learning bring together two annual summer schools in the area of logic and machine ...
AERFAI Summer School on New Trends in Pattern Recognition for Language TechnologiesThe aim of this Summer School is to introduce PhD students and young researchers into challenging areas of Natural Language ...
Machine Learning Summer School 2008 - KioloaThis school is suitable for all levels, both for people without previous knowledge in Machine Learning, and those wishing to ...