D08-1015 performance in estimating the emotional probability function fi . With the prior knowledge
D08-1054 dθ . ( 1 ) Note that the probability function ( 1 ) also covers the special
D15-1030 lexical terms are added to the link probability function , however . This is consistent
E12-1037 other hand , try to formulate the probability function of one item being liked statistically
C96-2215 set of elementary - trees and probability function and the word-graph are constructed
D14-1013 models to form the following joint probability function for rescoring : P ( DF , PU |
C04-1013 0 ; 1 -RSB- is the next symbol probability function . ( q ; ) = 0 when ( q ; ) is
D08-1015 i k where fi is the emotional probability function defined in Section 3.1 . Intuitively
A00-2018 H . In a log-linear model the probability function takes the following form : 1
D15-1254 functions : d * = arg max i where the probability function is defined according to the following
D08-1015 space . Let : E be the emotional probability function of That is , outputs the fraction
D13-1011 interpolation parameter α the probability function of the interpolated grammar is
C04-1013 similar notation , neglecting the probability function for ( non-probabilistic ) deterministic
A00-2020 likelihood , L , of distribution D with probability function P over elements xi , ... , xN
C04-1011 no epsilon transitions and no probability function on states being nal . We want
E14-4024 prior knowledge that translation probability functions p ( fl | e ) tend to have a low
C88-2153 whether the values of various probability functions pass selected thresholds . These
D13-1011 grammar and pa and pb are the rule probability functions of Ga and Gb respectively . The
D13-1011 , and where pa + b is the rule probability function of the combined grammar and pa
C94-2150 language L over i3 together with a probability function 05 assigning to each string a
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