Information Theory, Inference, and Learning Algorithms.pdf

文档介绍：-$,Inference,-$,Inference,.******@,1996,1997,1998,1999,2000,2001,2002,2003,2004,(fourthprinting)March28,.-screenontheabovewebsite,inpostscript,djvu,()minortyposwerecorrected,()minortyposwerecorrected,andchapter8wasrenamed‘Dependentrandomvariables’(insteadof‘Correlated’).Inthefourthprinting()minortyposwerecorrected.(.)-$.............................v1IntroductiontoInformationTheory.............32Probability,Entropy,andInference..............223MoreaboutInference.....................pression......................654TheSourceCodingTheorem.................675SymbolCodes.........................916StreamCodes..........................1107CodesforIntegers.......................132IINoisy-ChannelCoding....................1378DependentRandomVariables.................municationoveraNoisyChannel............14610TheNoisy-ChannelCodingTheorem.............16211Error-CorrectingCodesandRealChannels.........177IIIFurtherTopicsinInformationTheory.............19112HashCodes:CodesforEfficientInformationRetrieval..19313BinaryCodes.........