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################################################################ CALL FOR CONTRIBUTIONS WORKSHOP ON NEW PARADIGMS FOR HYBRID LEARNING SYSTEMS http://laren.dsi.unimi.it/new_paradigm within the International Conference on Hybrid Systems and Applications (ICHSA 2006) May 24th 2006, The University of Louisiana, Lafayette, LA, USA http://cos.fit.edu/math/ichsa/ Submission deadline: February 15th 2006 ################################################################ Organizers: ------------ * Bruno Apolloni, University of Milano http://laren.dsi.unimi.it/apolloni * Zong Sha, Chinese Institute of electronics,Beijing, China [EMAIL PROTECTED], [EMAIL PROTECTED] * Dario Malchiodi, University of Milano http://homes.dsi.unimi.it/~malchiod Besides the common dichotomy between subsymbolic learning systems such as neural networks and symbolic systems such as decision trees, and their various forms of hybridization, new algorithms are raising for learning, sharing features of both symbolic and subsymbolic paradigms. Of classification algorithms like SVM or feature extraction algorithms like ICA you cannot say to be completely symbolic since the kernels/non gaussianity measures selection must be drawn by data in a non direct way -- guessed in any way -- while the goal they optimize is an explicit function of the parameters they aim to learn. In very broad terms the object of this special session is to gather various approaches to learning, where the distinction between what comes from axiomatic theories and what is left to the ability of the learner and his heuristics is untenable. Rather we may distinguish between different strategies with which the users organize past data in order to face their continuation. Contributions: -------------- As it is, the scope of this special session is open to the contribution of researchers in many fields, ranging from statistics to granular computing, neural networks, evolutionary computation, computational learning and so on. A definite preference is for non conventional approaches, provided a clear rationale and either formal proofs or stringent numerical results are supplied. We expect extended abstracts six to eight pages long without special format. Authors of the accepted contributions will be invited to submit a paper in the format requested by the conference proceedings’ editor. Please submit extended abstracts to [EMAIL PROTECTED] within February 15th 2006. Important dates: ------------------- February 15th 2006 Submission deadline March 15th 2006 Notification of acceptance April 15th 2006 Camera ready papers deadline May 22nd 2006 Conference _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai