Hin ton Departmen t of Computer Science Univ ersit yof T oron to 6 Kings College Road oron to Canada M5S 1A4 Email zoubincstoron toedu ec hnical Rep ort CR GTR961 Ma y 21 1996 revised F eb 27 1997 Abstract actor analysis a statistical metho d for mo ID: 6474 Download Pdf
Heller Gatsby Computational Neuroscience Unit University College London London WC1N 3AR UK zoubinheller gatsbyuclacuk Abstract Inspired by Google Sets we consider the problem of retrieving items from a concept or cluster given a query consisting of
murraygatsbyuclacuk Zoubin Ghahramani Department of Engineering University of Cambridge zoubinengcamacuk David J C MacKay Cavendish Laboratory University of Cambridge mackaymraocamacuk Abstract Markov Chain Monte Carlo MCMC al gorithms are routinely
torontoedu Zoubin Ghahramani Department of Engineering Cambridge University zoubinengcamacuk Radford Neal Department of Computer Science University of Toronto radfordcstorontoedu Sam Roweis Department of Computer Science University of Toronto roweisc
Grif64257ths Zoubin Ghahramani Cognitive and Linguistic Sciences Gatsby Computational Ne uroscience Unit Brown University Providence RI University College London London tom griffithsbrownedu zoubingatsbyuclacuk Abstract We de64257ne a probability d
camacuk httplearningengcamacukzoubin MLSS 2012 La Palma brPage 2br An Information Revolution We are in an era of abundant data Society the web social networks mobile networks government digital archives Science largescale scienti64257c experiments bi
uclacuk Abstract We present a new Gaussian process GP regression model whose co variance is parameterized by the the locations of pseudoinput points which we learn by a gradient based optimization We take where is the number of real data points and h
