dario malchiodi kqngerjgadsiunimiit sorry received message feel free distribute might interested call contributions workshop new paradigms hybrid learning systems httplarendsiunimiitnew_paradigm within international conference hybrid systems applications ichsa 2006 may 24th 2006 university louisiana lafayette la usa httpcosfitedumathichsa submission deadline february 15th 2006 organizers bruno apolloni university milano httplarendsiunimiitapolloni zong sha chinese institute electronicsbeijing china bprzpublicbatnetcn yhlxieeeorg dario malchiodi university milano httphomesdsiunimiitmalchiod besides common dichotomy subsymbolic learning systems neural networks symbolic systems decision trees various forms hybridization new algorithms raising learning sharing features symbolic subsymbolic paradigms classification algorithms like svm feature extraction algorithms like ica say completely symbolic since kernelsnon gaussianity measures selection must drawn data non direct way guessed way goal optimize explicit function parameters aim learn broad terms object special session gather various approaches learning distinction comes axiomatic theories left ability learner heuristics untenable rather may distinguish different strategies users organize past data order face continuation contributions scope special session open contribution researchers many fields ranging statistics granular computing neural networks evolutionary computation computational learning definite preference non conventional approaches provided clear rationale either formal proofs stringent numerical results supplied expect extended abstracts six eight pages long without special format authors accepted contributions invited submit paper format requested conference proceedings editor please submit extended abstracts wsx_msfpwopwmdsiunimiit within february 15th 2006 important dates february 15th 2006 submission deadline march 15th 2006 notification acceptance april 15th 2006 camera ready papers deadline may 22nd 2006 conference wed 06 aug 2008 195301 0100 uai ichsa workshop new paradigms hybrid learning systems