• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 116
Next 10 →

TABLE 27 SN 1998be-I

in SUPERNOVAE
by unknown authors 2003

Table 6: Baum bei Verwendung der Fragen 1-20

in Regelbasiert generierte Aussprachevarianten für Spontansprache
by Thomas Kemp

Table 5.3: BEI MotionPak II specifications.

in Integration And Evaluation Of Sensor
by Modalities For Polar, Richard S. Stansbury

Table 2. Decision rules for the extended prof- itability

in Profitability Estimation of Software Projects: A Combined Framework
by Stefan Wagner, Songmin Xie

Table 4: Part of the search space of synthetic profiles when combining prof2 and prof5.

in Comparing and Combining Profiles
by Serap Savari, Cliff Young 1999
"... In PAGE 5: ... Then is our synthe- sized profile distribution. Table4 tabulates part of the search space when our algorithm combines prof2 with prof5. The first column depicts values of in the interval ; the second through fifth columns show the corresponding probabil- ities for each event and that value of , and the sixth column shows the value of , which is minimized between and .... ..."
Cited by 13

Table 4: Part of the search space of synthetic profiles when combining prof2 and prof5.

in Page 1 of 10 Comparing and Combining Profiles
by Serap Savari And, Serap Savari, Cliff Young 1999
"... In PAGE 5: ... Then is our synthe- sized profile distribution. Table4 tabulates part of the search space when our algorithm combines prof2 with prof5. The first column depicts values of in the interval ; the second through fifth columns show the corresponding probabil- ities for each event and that value of , and the sixth column shows the value of , which is minimized between and .... ..."
Cited by 13

Table III. Basic Execution Overheads of Cost Center Pro ling Unpro led -prof -prof

in Formally Based Profiling for Higher-Order Functional Languages
by Patrick Sansom And, Patrick M. Sansom, Simon L. Peyton Jones

Table III. Basic Execution Overheads of Cost Center Pro ling Unpro led -prof -prof

in Formally Based Profiling for Higher-Order Functional Languages
by Patrick M. Sansom, Simon L. Peyton Jones

Table 5: Baum bei Verwendung der Fragen 1-12 und 20-23

in Regelbasiert generierte Aussprachevarianten für Spontansprache
by Thomas Kemp

Table 5: Exp. 1, Prof. to Postfilter [Mio.], Vary UP

in Agile: Adaptive indexing for context-aware information filters
by Jens-peter Dittrich 2005
"... In PAGE 10: ... Nevertheless, GBU is also clearly outperformed by AGILE. A more detailed understanding of these results can be gained by looking at the number of executed index updates (Table 4) and the number of profiles that need to be in- spected in the postfilter operation ( Table5 ). As expected, the number of index updates increases for all index-based methods with an increasing context update rate (Table 4).... In PAGE 10: ... Nevertheless, GBU is not as competitive as AGILE. Due to escalations, the num- ber of profiles that need to be postfiltered increases with an increasing update rate for AGILE ( Table5 ) and it is much higher as for the other index-based approaches. However, for high update rates, it is more important to control the 0 500 1000 1500 2000 2500 3000 0 20 40 60 80 100 Completion Time for 10K Messages [sec] UpdAtt NOINDEX EAGER GBU AGILE Figure 12: Exp.... ..."
Cited by 9
Next 10 →
Results 1 - 10 of 116
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University