Trainable pattern classifier

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106 account of past performance ...Consider now a retrieval strategy that has been implemented by means of a matching function M ...It is the aim of every retrieval strategy to retrieve the relevant documents A and withhold the non relevant documents A ...the decision procedure M Q,D T >0 corresponds to a linear discriminant function used to linearly separate two sets A and A in R [t]...M Q 0,D >T whenever D [[propersubset]]A and M Q 0,D <T whenever D [[propersubset]][[Alpha]]The interesting thing is that starting with any Q we can adjust it iteratively using feedback information so that it will converge to Q 0 ...
200 NEEDHAM,R ...NEEDHAM,R ...NEGOITA,C ...NEGOITA,C ...NEGOITA,C ...NEGUS,A ...NILSSON,N ...ODDY,R ...ÖRE,0 ...OSBORNE,M ...OSTEYEE,D ...PAGE,E ...PAICE,C ...PATT,Y ...PREPARATA,F ...PRYWES,N ...RADECKI,T ...RAJSKI,C ...RICKMAN,J ...RIEBER,S ...RIVEST,R ...ROBERTS,D ...
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141 that this principle works so well is not yet clear but see Yu and Salton s recent theoretical paper [39]...The connection with term clustering was already made earlier on in the chapter ...It should be clear now that the quantitative model embodies within one theory such diverse topics as term clustering,early association analysis,document frequency weighting,and relevance weighting ...References 1 ...2 ...3 ...4 ...5 ...6 ...7 ...8 ...9 ...10 ...11 ...12 ...13 ...