A00-2007 processing stage we have used the five data representations with majority voting . This approach
A00-2007 data set known to us . Varying data representations is not the only way for generating
A00-2007 be found in table 2 . For both data representations , all combinations perform significantly
C90-3094 structures should be used as the basic data representation scheme . Dialog understanding
C00-2142 of the formalism and the chart data representation . All processing components arc
A00-2007 this we introduce the different data representations we use and our machine learning
A97-1034 particular syntactic structures . 3.2.3 Data representation CQP requires users to transform
A00-2007 target for optimization . 2.2 Data representation In our example sentence in section
C04-1068 clustering procedure , including our data representation and cluster identification method
A00-2007 Veenstra , 1999 ) compare different data representations for this task . Their baseNP
C92-3149 wishes , as long as he respects the data representation schema . The procedure will work
A00-1017 careful consideration of the way data representations interact and develop . Any formal
A83-1024 " , " condition " , etc. . The data representation we have chosen in the RESEDA
C04-1068 responses to the inquiry . Our data representation is a bag-of-words with TF.IDF
C04-1093 a standard specifi cation for data representation , the data defined by XML can
C04-1068 form the input to K-Means . 3.1 Data Representation As indicated in Section 1 , we
A00-2007 SV phrases . They compare two data representations and report that a representation
C82-2003 between the two main forms of data representation - a naming and a procedural one
C04-1068 Section 3.2 ) , we describe the data representation used to form the input to K-Means
C90-3038 parameters . Next , concerning ` the data representation , the statistical model does
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