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Table 4 shows the breakdown of survey respondents into Usenet Participant types. Low volume repliers (54) were the most common type of self described Usenet participants among our respondents and most of them were past users of Netscan\Tech. The thirty-five readers came from both past and active users, while the thirty-three Key Contributors were more likely to be active users of Netscan\Tech.

in Assessing differential usage of Usenet social accounting meta-data
by A. J. Bernheim Brush, Xiaoqing Wang, Tammara Combs Turner, Marc A. Smith 2005
"... In PAGE 7: ... The questions asked the users to describe their roles in and relationships to the newsgroups and many provided their Usenet author names which allowed us to contrast self-report and observed behavior. Of the 225 respondents to the active user and past user survey, 127 reported they participated in Usenet ( Table4 ). Of the active user respondents, 69% participated in Usenet, compared to 52% of the past users.... In PAGE 7: ...r(68) = .370, p lt; .002). Lastly responses to I often ask Survey Participants in Usenet by Type Active Users (N=44) Past Users (N=83) Total (N=127) Key Contributor 16 (36%) 17 (21%) 33 (26%) Low Volume Replier 16 (36%) 38 (46%) 54 (43%) Questioner 1 (2%) 1 (1%) 2 (2%) Reader 10 (23%) 25 (30%) 35 (28%) Disengaged Observer 1 (2%) 2 (2%) 3 (2%) Table4 . Active and Past user survey respondents that participate in Usenet grouped by participant types.... ..."
Cited by 6

Table 1 shows the result of this experiment. We see that since our OOV rate is so low, improving it will have only a minor impact on our recognition performance. Therefore it is likely that other fac- tors such as acoustic mismatch, pronunciation inaccuracies and language model mismatch are the main contributors to our error rate. Future work will therefore focus on these areas.

in An Experimental Study Of An Audio Indexing System For The Web
by Beth Logan, Pedro Moreno, Jean-Manuel Van Thong, Ed Whittaker, Jean-manuel Van, Thong Whittaker 2000
"... In PAGE 3: ... Table1 : Impact of reducing OOV rates for the test sets with the worst OOV rates. 4.... ..."
Cited by 13

Table 1 Examples of settings characterized by different information volume and clarification requirements

in Grounding Needs: Achieving Common Ground via Lightweight Chat
by Jeremy P. Birnholtz, Thomas A. Finholt 2005
"... In PAGE 3: ... In these settings, it is also more likely that the contributor will be unsure of whether or not the other participants understood her contribution, and therefore want acknowledgement of their understanding. From these two characteristics, we derive Table1 , which provides examples of settings where different strategies might be appropriate: Information volume ... ..."
Cited by 5

Table 4. Contributors to trust in government

in Internet Use, Transparency, and Interactivity Effects on Trust in Government
by Eric W. Welch, Charles C. Hinnant 2003
"... In PAGE 4: ...** p lt; 0.01, ** p lt; 0.05, * P lt; 0.10 Tables 2 through 4 summarize the remaining results of the study: transparency results are shown in Table 2, interactivity results in Table 3 and trust in government results in Table4 . Perception of information reliability on government websites (our measure of transparency) is positively associated with extent of internet use, stated familiarity with e-government, and overall perceptions of e-government.... In PAGE 5: ...** p lt; 0.01, ** p lt; 0.05, * P lt; 0.10 Table4 provides results for the final equation, an estimation of trust in government. The analysis also shows that predicted values of transparency and interactivity are significantly associated with trust in government.... ..."
Cited by 4

Table. Summation of the programme of work by contributors.

in unknown title
by unknown authors

Table 6: Phase Drift at 938 GHz, Preliminary Allocations

in ALMA Project Book, Chapter 7: LOCAL OSCILLATORS
by Addario Editor Contributors, E. Bryerton, R. Sramek, W. Shillue, S. Thacker, Draft -dec-. Minor Revisions -feb
"... In PAGE 7: ... Phase Drift (systematic phase errors) Adopting the 6.9 fsec goal of Table 4, we identify the components of Table6 as the most likely significant contributors to overall phase drift. The most difficult case, band 10, is considered.... ..."

Table 1: Current contributors of route views

in On Inferring Autonomous System Relationships in the Internet
by Lixin Gao 2000
"... In PAGE 16: ... We use the publicly available routing table from the Route Viewer router in Oregon [16], which has the most complete view of the current Internet. The BGP routing table in the Router Viewer router closely captures the current state of the Internet by establishing BGP peering sessions with 22 ISPs at 24 locations as shown in Table1 . For the detailed description of the Route Viewer server, see [16].... ..."
Cited by 248

Table 1: Current contributors of route views

in On Inferring Autonomous System Relationships in the Internet
by Lixin Gao 2000
"... In PAGE 16: ... We use the publicly available routing table from the Route Viewer router in Oregon [16], which has the most complete view of the current Internet. The BGP routing table in the Router Viewer router closely captures the current state of the Internet by establishing BGP peering sessions with 22 ISPs at 24 locations as shown in Table1 . For the detailed description of the Route Viewer server, see [16].... ..."
Cited by 248

Table 3: Largest Contributors to Client Overhead and Latency

in Performance of OmniBroker, an Implementation of CORBA 2.0
by Oolan Zimmer, Andrew Chien 1998
"... In PAGE 4: ... The pro ler gathered wall time for the sockets functions and CPU time for the non-sockets functions. Table3 describes the top contributors to latency on the client side as well as the top contributors to client overhead. The client overhead was measured to be 142 us / call, with most of... ..."
Cited by 1

Table 3: Largest Contributors to Client Overhead and Latency

in Performance of OmniBroker, an Implementation of CORBA 2.0
by Oolan Zimmer, Andrew Chien 1998
"... In PAGE 4: ... The pro ler gathered wall time for the sockets functions and CPU time for the non-sockets functions. Table3 describes the top contributors to latency on the client side as well as the top contributors to client overhead. The client overhead was measured to be 142 us / call, with most of... ..."
Cited by 1
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