ICML 2013 Workshop on Machine Learning For System Identification http://mlsysid.tuebingen.mpg.de/
Call for Posters and Papers We solicit submission of extended abstracts or papers discussing high quality research on all aspects of dynamical system modeling and identification with machine learning tools. Both theoretical and applied contributions presenting recent or ongoing research are welcomed. The list of tools, problems, and applications includes, but is not limited to the following: Tools: kernel methods, regularization techniques, Bayesian estimation, deep learning, manifold learning, spectral methods, causal inference, active learning, reinforcement learning. Problems: predictor estimation, state-space model identification, impulse response modeling, non-linear system modeling, experiment design. Applications: robotics, automotive, process control, motion tracking, system biology, computational sustainability. Submissions and Publication A one-page extended abstract suffices for a poster submission. Additionally, we welcome position papers, as well as papers discussing open problems and potential future research directions. Both extended abstracts and position/future research papers will be reviewed by program committee members on the basis of relevance, significance, and clarity. Submissions should be formatted according to the ICML 2013 conference template. The length of abstracts and papers should not exceed 8 pages. Submission website: https://www.easychair.org/conferences/?conf=mlsysid2013 Important Dates Apr 3, 2013 - Deadline of Submission (extended from Mar 20, 2013) Apr 15, 2013 - Notification of Acceptance June 20-21, 2013 - Workshop Francesco Dinuzzo, Abdeslam Boularias and Lennart Ljung _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
