| Call for Participation 3nd Lisbon Machine Learning School - 'Learning with Big Data' ============================================================== We invite everyone interested in Machine Learning and Natural Language Processing to attend the 3nd Lisbon Machine Learning School - LxMLS 2013. Important Dates --------------- * Application Deadline: April 15, 2013 * Decision: May 15, 2013 * Early Registration: June 15, 2013 * Summer School: July 24-31, 2013 Topics and Intended Audience --------------- The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data. Our target audience is: * Researchers and graduate students in the fields of NLP and Computational Linguistics; * Computer scientists who have interests in statistics and machine learning; * Industry practitioners who desire a more in depth understanding of these subjects. Features of LxMLS: * No deep previous knowledge of ML or NLP is assumed; * Recommended reading will be provided in advance; * Includes a strong practical component; * A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises; * Days will be divided into tutorials and practical sessions (view schedule); * Both basic and advanced topics will be covered; * Instructors are leading researchers in machine learning. List of Confirmed Speakers --------------- LUIS PEDRO COELHO Institute for Molecular Medicine | Portugal MÁRIO FIGUEIREDO Instituto de Telecomunicações | Portugal KOBY CRAMMER Technion, Israel Institute of Technogly | Israel SLAV PETROV Google Inc. | USA NOAH SMITH Carnegie Mellon University | USA XAVIER CARRERAS Universitat Politècnica de Catalunya | Spain CHRIS DYER Carnegie Mellon University | USA MILES OSBORNE University of Edinburgh | UK KEVIN KNIGHT University of Southern California | USA SEBASTIAN RIEDEL University College London | UK STEFAN RIEZLER Unversity of Heidelberg | Germany Please visit our webpage for up to date information: http://lxmls.it.pt/. To apply, please fill the form in https://lxmls.wufoo.com/forms/application-form/. Any questions should be directed to: lxmls-2013@lx.it.pt. We are looking forward to your participation! -- The organizers of LxMLS'2013. |