EECS Distinguished Guest Lecturer (There will be two different lectures by Saso Dzeroski)
Thursday **Special Time, Day, and Location May 8 1:00 - 3:00 PM Kelley 1007 Saso Dzeroski EECS Distinguished Guest Lecturer Senior Scientific Associate/ Deputy Head Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia Predictive clustering trees and their use in bioinformatics Predictive clustering trees are an approach to data analysis that includes elements of both clustering and predictive modelling. They allow for conceptual clustering, where we seek both clusters and their descriptions, as well as simultaneous prediction of several target variables. The talk will introduce predictive clustering trees, present methods for learning them and summarize some of their applications in bioinformatics (predicting gene functions and relating gene expression profiles to the clinical status of patients.) Biography Saso Dzeroski is a senior scientific associate at (and deputy head of) the Department of Knowledge Technologies, Jozef Stefan Institute, Ljubljana, Slovenia. He is also an associate professor at the Jozef Stefan International Postgraduate School. He has conducted research on a wide variety of topics within machine learning (including computational scientific discovery, computational learning theory, relational learning, inductive logic programming, reinforcement learning) and its applications (environmental sciences, life sciences and natural language processing). He has also organized a range of scientific and educational events (conferences, workshops, seminars) on the above topics and co-authored/co-edited three books and five published proceedings . He was program co-chair of ICML-99, invited speaker at ICML-02 and general chair of ICML-05 (The Twentysecond International Conference on Machine Learning).
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