%PDF-1.5 % 4 0 obj << /S /GoTo /D (section.1) >> endobj 7 0 obj (Introduction) endobj 8 0 obj << /S /GoTo /D (section.2) >> endobj 11 0 obj (Preliminaries) endobj 12 0 obj << /S /GoTo /D (subsection.2.1) >> endobj 15 0 obj (Naive Bayesian classifiers) endobj 16 0 obj << /S /GoTo /D (subsection.2.2) >> endobj 19 0 obj (Zero probabilities in a coherent setting) endobj 20 0 obj << /S /GoTo /D (section.3) >> endobj 23 0 obj (Motivating Examples) endobj 24 0 obj << /S /GoTo /D (section.4) >> endobj 27 0 obj (Exploiting Coherent Conditional Probability Theory in Naive Bayesian Classifiers) endobj 28 0 obj << /S /GoTo /D (subsection.4.1) >> endobj 31 0 obj (Expressing classifier information in linear equations) endobj 32 0 obj << /S /GoTo /D (subsection.4.2) >> endobj 35 0 obj (Including additional information about extreme probabilities) endobj 36 0 obj << /S /GoTo /D (section.5) >> endobj 39 0 obj (Practicable Coherent Inference) endobj 40 0 obj << /S /GoTo /D (section.6) >> endobj 43 0 obj (Concluding Observations) endobj 44 0 obj << /S /GoTo /D [45 0 R /Fit] >> endobj 57 0 obj << /Length 3036 /Filter /FlateDecode >> stream xڍɖ>_F p\2-؝yvO|sDto(R2mS(RyEP(TjEGMyM62IFI6>u5v(h9]cy5]8<0?yu`W͓\AR4db2??o}Ar'N22"ԑ$̓3n#3#Lo.4i6}~"e; "ǻ߇n=O4mfj7\~ad`yuqylǃ< beQaZ&7\6 u*,#Y%PD埦m];4~Gi~__d1drnfy>+b&L!ѤV3BDEaqX+ot6U>6mw2k.MSM8L`{`p:aQ~nW0.M?]hY.C-fRs;֔SfaOy~?.uu|"&Up% َ (WNLP]M[s'Y7LL~ݘ4x_[КZ G5썕S7*!. LHg"/.֍Οq0jdwC\3aE8aѡ0OGi F:f=3AbWt^;:,;"N0v`'[G8b(h5 Uvu%DMG6&SJήxF!P>A