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Table 8: Performance of GENESIS for the relativistic spherical shock re ection test (RSSR) on di erent grids and machines.

in GENESIS: A high--resolution code for 3D relativistic hydrodynamics
by Aloy Ib'a Nez, M. A. Aloy J. M, E. Muller

Table 4: Aggregated Statistics for the GOV Benchmark with c=10% GOV

in KLEE: A Framework for Distributed Top-K Query Algorithms
by Sebastian Michel 2005
Cited by 28

Table 4: Aggregated Statistics for the GOV Benchmark with c=10% GOV

in KLEE: A Framework for Distributed Top-K Query Algorithms
by Sebastian Michel 2005
Cited by 28

Table 1. GovML data vocabulary

in GovML: A Markup Language for Describing Public Services and Life Events
by Gregory Kavadias, Efthimios Tambouris 2003
"... In PAGE 7: ... This docu- ment is valid against the XML schema of GovML. Data elements described in the third column of Table1 , are serialized in this sample GovML document. Hence this document is uniquely identified by the identifier element and the language of the document is characterised by the language element.... In PAGE 10: ... In this scenario it could have the value every working day . In a similar way the administrator fills in the rest of the data elements illustrated in the second column of Table1 and stores the new GovML document via SDT. The new document is stored in the local repository of the public organisation, which con- tains all GovML documents of this organization.... ..."
Cited by 4

Table 2. Summary of TREC .GOV Collection

in The Co-Evolution of Systems and
by Shaozhi Ye, Ji-rong Wen, Wei-ying Ma 2004
"... In PAGE 7: ...nd 530k documents respectively. In this paper we choose the TREC .GOV collection 5 as our experiment dataset, which contains about a million HTML documents and is widely used in Web related research. Table2 summarizes the main properties of this dataset. 4.... ..."
Cited by 4

Table 2. Summary of the TREC .GOV Collection

in A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection
by Shaozhi Ye, Ji-rong Wen, Wei-Ying Ma
"... In PAGE 5: ...espectively. In this paper we choose the TREC .GOV collection as our testing dataset since it contains about a million documents and is widely used in Web related research. Table2 summarizes the main properties of this dataset. Table 2.... ..."

Table 2. Summary of the TREC .GOV Collection

in A Systematic Study of Parameter Correlations in Large Scale Duplicate Document Detection
by Shaozhi Ye, Wei-ying Ma
"... In PAGE 5: ...espectively. In this paper we choose the TREC .GOV collection as our testing dataset since it contains about a million documents and is widely used in Web related research. Table2 summarizes the main properties of this dataset. Table 2.... ..."

Table 6: Samples of the GOV2 collection.

in Effective Smoothing for a Terabyte of Text
by Jaap Kamps 2006
"... In PAGE 4: ... larger samples. Table6 shows the resulting sample sizes, in number of documents, as well as the number of relevant documents (for any of the Adhoc topics) remaining. For all... ..."
Cited by 3

Table 2: GOV collection URL Distribution

in IIT at TREC-2003 Task Classification & Document Structure for Known-Item Search
by Steve Beitzel, Eric Jensen, Rebecca Cathey, Ling Ma, David Grossman, Ophir Frieder, Abdur Chowdhury, Greg Pass, Herman Vandermolen
"... In PAGE 7: ...407 .613 .653 .647 .67 Table2 : Submitted Runs Official Evaluation Our final iit03sau approach for the known-item task was 49% of the time equal or above the median and 67% above the mean score of submitted runs. Additionally, our approach produced the item in the top 10 results 87% of the time and only missed 7% of the results.... In PAGE 7: ... These results provide validation of the robustness of our task algorithm; more research needs to be conducted to find other task specific information to determine how that information should be incorporated into the ranking strategy. 4 Preliminary Failure Analysis Examining Table2 gives some indication of how each approach performs. Notice for the iit03sa and iit03sau runs that relevant documents are not found for approximately 7% of the queries, and are found in the top ten for 87% of the queries, leaving 6% for which the relevant document is found, but is poorly ranked.... ..."

Table 1 Statistics of the .GOV and SOGOU corpuses

in Web Page Quality Estimation Based on Linear Discriminant Function 1
by Rongwei Cen, Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma
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