wwxqmfxuvpywapblip6fr wwxqmfxuvpywapblip6fr apologies cross postings call position papers participation workshop learning partially classified training data icml2005 august 7 2005 bonn germany description many reallife applications may involve huge datasets exhaustive samplelabeling requires expensive human resources often unrealistic example bioinformatics many information retrieval tasks labeling data time consuming difficult task problems remote sensing medical imaging labeling data may require expensive tests small set labeled data may available domains like targeted marketing positive samples available unlabeled examples plentiful cases need find ways relieving users annotation burden discuss recent developments explore new issues share ideas future directions welcome papers address questions focus following topics learning applications bioinformatics information access areas using labeled unlabeled data techniques including multimodal semisupervised methods cotraining coboosting em like semisupervised techniques discriminative approaches markov random fields maximum entropy unlabeled data diagnostic applications theoretical issues characterize role importance unlabeled samples learning techniques measuring amount information contained errorprone samples relative perfectly labeled observations kernels semisupervised learning ie create good kernels using labeled unlabeled data tasks unlabeled data may degrade performance querybased active learning learning positive labeled data transductive inference constrained clustering submission please send rucgjpoleialip6fr email pdf postscript icml format following full paper 610 pages extended abstract less 2000 words one 3 tracks 1 oral presentation 2 research progress 3 posters demos body email include plain ascii names authors affiliations physical email addresses track number corresponds submission submissions reviewed technical soundness relevance significance clarity organizing review committee invitations present sent accordingly full paper formatted according standard icml templates available httpicml2005kdnetorgpapersformat converted pdf postscript important dates paper submission deadline april 1 2005 notification acceptance april 22 2005 final camera ready submissions may 13 2005 workshop august 7 2005 publication accepted papers published official workshop proceedings distributed cds participants workshop organizers massihreza amini university pierre et marie curie france olivier chapelle max planck institute biological cybernetics germany rayid ghani accenture technology labs usa review committee massihreza amini university pierre et marie curie france olivier chapelle max planck institute biological cybernetics germany ian davidson university albany state university newyork usa françois denis fondamental computer science marseille france patrick gallinari university pierre marie curie france eric gaussier xerox research centre europe france rayid ghani accenture technology labs usa cyril goutte xerox research centre europe france yves grandvalet university compiègne france neil lawrence university sheffield united kingdom craig saunders university southampton united kingdom kiri wagstaff jet propulsion laboratory nasa usa dengyong zhou max planck institute biological cybernetics germany xiaojin zhu carnegie mellon university usa alexander zien max planck institute biological cybernetics germany keynote speakers yoshua bengio university montréal canada zoubin ghahramani university college london united kingdom matthias seeger university california berkeley usa see workshop web page httpwwwconnexlip6framinilpctd_icml05html wed 06 aug 2008 042314 0100 uai cfp icml05 workshop learning partially classified training data