### Table 3: This table shows the computed proportion of matched terms vs. in- dexing patterns for common IR measures. Average and standard deviation over all concepts are also given.

2005

### Table 1. Top ten associated lemmas for EUROVOC descriptor FISHERY MANAGEMENT. With reference to the discussion in section 5, the columns 2, 3 and 4 show the absolute frequency of the lemma in all texts indexed with this descriptor, the number of texts in- dexed with this descriptor the lemma occurred in, and the final weight of each lemma.

2003

Cited by 6

### Table 1. Top ten associated lemmas for EUROVOC descriptor FISHERY MANAGEMENT. With reference to the discussion in section 5, the columns 2, 3 and 4 show the absolute frequency of the lemma in all texts indexed with this descriptor, the number of texts in- dexed with this descriptor the lemma occurred in, and the final weight of each lemma.

2003

Cited by 6

### Table 2. Thematic and rhematic concepts analysis. Themes are represented as rows and in- dexed by the sentence number they appear in. Rhemes are represented as columns. An element rij indicates the number of occurrences of the rhematic concept Rj that \explains quot; the thematic concept Ti along the text

2001

Cited by 1

### Table 6 GI values for a dataset of 10 fingerprint images

2006

"... In PAGE 11: ... A high value of GI indicates the high quality of the extracted minutiae. Table6 presents the GI values for a representative subset of 10 fingerprint images. The maximum and minimum values of GI for this dataset are 0.... ..."

### Table 3.5 lists a group of aggregate functions and the index types to evaluate these functions. We enter the value quot;Best quot; in a cell if the given index type is the most efficient one to have for this aggregation, quot;Slow quot; if the index type works but not very ef- ficiently, etc. Note that Table 3.5 demonstrates how different in- dex types are optimal for different aggregate situations.

1997

Cited by 122

### Table 5. Performance comparison between LuceneRanker (LR) and LuceneIn- dexRanker (LIR). Avg.Pr., Average precision; PRBE, Precision-Recall Breakeven point; Avg. rel.Rank, average rank of relevant documents in current query from July 2004 normalized by the number of documents returned.

2004

"... In PAGE 11: ... We consider this to be a reasonable approximation to using the full MEDLINE database of twelve million entries. Table5 shows the results. As can be seen, LIR performs somewhat similar to LR, and on average performs worse.... ..."

Cited by 1

### Table 1: Correlation coe cients between the DJF Kaplan/NCEP NINO3 in- dex; the MAM NINO3.4, SE Asia, North Paci c and subtropical Atlantic tem- perature indices extracted from Parker et al. (1995); and MAM De Bilt and European 50 N precipitation.

### Table 5. Conditional Mean Financial Ratios This table presents mean financing ratios for all countries grouped conditional on the level of accounting standards, investor protection and entry restrictions, using indices of those conditioning variables pub- lished by IFC in their annual Emerging Markets Factbook. The sample period varies by country and in- dex availability. The t-test is for the difference between the values of the financial ratio conditional on the lowest and highest value of that conditioning variable. All Securities Bonds Equities

"... In PAGE 14: ...12 Table5 presents the conditional means for the three different market factors for the total sample, as well as for emerging market countries and all other countries. Consider first account- ing standards.... ..."