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Table 1: Contributions to Life Expectancy at Birth
2001
Table 1. Labeling errors when orthographic transcription was transformed to phonetic transcription. Text sentences of speech corpus. Human transcription Machine transcription
in Automatic Segmentation and Labeling for Mandarin Chinese Speech Corpus for Concatenation-based TTS
2005
Cited by 2
Table 4. Canonical variable value by bull for discriminant analysis independent of fertility group*
"... In PAGE 4: ... The mean of these values for each bull is shown in Table 4. Bulls in the high-fertility group had canonical variable means greater than 0, whereas bulls of lower fertility had means less than 0 ( Table4 ). Thus, when supplied only with data on sperm nuclear shape, the discriminant func-... ..."
Table 1 Overflow for s = 1 and various load factors.
"... In PAGE 5: ... The average number of additional ac- cesses specified in Table 3, together with the file activity, may be helpful in estimating average response times. Analysis of results From Table1 , we see that for each value of y, rn increases monotonically with s. The relation is almost linear (see Fig.... ..."
Table I describes the classifications.
Table 3 (described above).
"... In PAGE 22: ....1.2 Sampling Design Each of the initial data sets was partitioned into 3 subsets: in-sample training data, in- sample testing data (for the evaluations internal to GLOWER), and out-of-sample testing data. Table3 shows the size of each subset for the three data sets. In-sample In-sample Out-of-sample training data testing data testing data total Data set 1: Waveform Recognition 3,010 770 1,220 5,000 Data set 2: Character Recognition 12,000 4,000 4,000 20,000 Data set 3: Estimating returns of S amp;P500 stocks 11,600 3,200 3,200 18,000 Table 3: Data Samples We chose this multi-level separation because of the several dangers of overfitting.... In PAGE 22: ... Table 3 shows the size of each subset for the three data sets. In-sample In-sample Out-of-sample training data testing data testing data total Data set 1: Waveform Recognition 3,010 770 1,220 5,000 Data set 2: Character Recognition 12,000 4,000 4,000 20,000 Data set 3: Estimating returns of S amp;P500 stocks 11,600 3,200 3,200 18,000 Table3 : Data Samples We chose this multi-level separation because of the several dangers of overfitting. Most obviously, the in-sample/out-of-sample division is important so that the model can be evaluated in terms of consistency.... ..."
Table 4: Describing the distributions
2007
TABLE 6. Model results for reactions deleted in central metabolism under four different substrate availability conditionsa
2002
Cited by 10
Table 6.4 Comparisons for Modal Frequencies Between the Experimental Results and Modal Analysis Results After Fine Tuning.
1999
Cited by 1
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