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Table 1. The table gives estimates of the complexity, without and with optimization, of the prover and verifier in terms of general exponentiations in Gq for some common security parameters.

in unknown title
by unknown authors
"... In PAGE 29: ... Each function veriStepi computes the complexity of verifier in the ith step of the protocol and correspondingly for proStepi. In Table1 we give the complexity for some common parameters.... ..."

Table I. Overview of General Search Characteristics Condition Searches Key terms Words/phrases

in The Use of Dynamic Contexts to Improve Casual Internet Searching
by Gondy Leroy, Ann M. Lally, Hsinchun Chen 2003
Cited by 4

Table 3. Comparison of generalization error of SVM and QLYSVM on three logic terms classi cation instances.

in
by unknown authors

Table 1 Number of Stories that Use Various Economic Terms on Nexis General News Search Facility, Level 1 (1) (2) (1) (2)

in Why Do People Dislike Inflation?
by Robert J. Shiller, Robert J. Shiller 1997
"... In PAGE 3: ... Defining the Problem: The Study of Inflation in Popular Culture The word inflation appears to be the most commonly used economic term among the general public. Table1 column 1 shows how often the word has been used, in comparison with other economic terms, based on a computer search of news stories in the ALLNWS (all news) section of the Nexis system, an electronic search system for English language news publications (and including some broadcasts) around the world. The word inflation appeared in 872,004 stories, far outnumbering the stories containing any other economic term.... In PAGE 4: ...At this time of relatively low inflation among most of the major countries of the world, inflation still appears to be the most commonly used economic term. The Nexis system, using its current news section CURNWS that covers the last two years only, still produced more stories using the word inflation than using any other economic term, see Table1 column 2. Because the word inflation is so much a part of everyday lives, it has many associations and connotations to ordinary people.... ..."
Cited by 7

Table 3. Medium-term impacts of general changes in planned land release and other policies on prices, output level, and characteristics (elasticities).

in unknown title
by unknown authors 1998
"... In PAGE 13: ... It would also appear that compromise packages which include judicious combinations of all elements may perform almost as well and provide the best opportunity to assess the impacts of planning on the market. Planning impacts Table3 illustrates the way in which the model can be used to assess the medium-term national impact of broad policy changes, and the sensitivity of these impacts to specific assumptions. Five outcomes are assessed: the price of a standard house; land price per hectare; output rate (new private completions); recycled urban-land share; and density (units per hectare).... In PAGE 15: ... Table3 shows the results of exploring several different strategies for influencing the urban-land share. The last four rows of the table report simulations made with a slightly modified function for predicting this variable, incorporating a variable repre senting the ratio of estimated residual values for urban versus greenfield land.... ..."

Table 1: Computing term normal form (1151 nodes, garbage on): general statistics

in Concurrent Garbage Collection for Concurrent Rewriting
by Ilies Alouini 1995
"... In PAGE 13: ... To test our implementation of the concurrent garbage algorithm, we compare the number of total rules using or not the garbage collection algo- rithm. The times and the number of total rules to compute the normal form of a term are given in Table1 and Table 2. The terms are built as follows: t0 = F(x) + F(y); ti = ti?1 + ti?1 ; i 1.... ..."
Cited by 6

Table 1: Computing term normal form (1151 nodes, garbage on): general statistics

in Concurrent Garbage Collection for Concurrent Rewriting
by Ilies Alouini 1995
"... In PAGE 13: ... To test our implementation of the concurrent garbage algorithm, we compare the number of total rules using or not the garbage collection algo- rithm. The times and the number of total rules to compute the normal form of a term are given in Table1 and Table 2. The terms are built as follows: t0 = F(x) + F(y); ti = ti?1 + ti?1 ; i 1.... ..."
Cited by 6

Table 7: Five most entropic and ve least entropic terms among the 5000 most frequent terms, using the -1 a140 +1 grounding space. In general, closed-class terms have higher entropy.

in Towards Full Automation of Lexicon Construction
by Richard Rohwer Richardrohwer, Fair Isaac Corporation 2004
Cited by 4

Table 7: Five most entropic and five least entropic terms among the 5000 most frequent terms, using the -1 a140 +1 grounding space. In general, closed-class terms have higher entropy.

in TowardsFullAutomationofLexiconConstruction
by unknown authors

Table 10. Generalization accuracies (in terms of percentages of cor- rectly classi ed test instances) on the gs, pos, pp, and np tasks, by ib1-ig with k = 1, 2, 3, and 5.

in Forgetting Exceptions is Harmful in Language Learning
by Walter Daelemans, Antal Van Den Bosch, Jakub Zavrel 1999
"... In PAGE 27: ... We performed experiments with ib1-ig on the four tasks with k = 2, k = 3, and k = 5, and mostly found a decrease in generalization accuracy. Table10 lists the e ects of the higher values of k. For all tasks except np, setting k gt; 1 leads to a harmful abstraction from the best-matching instance(s) to a more smoothed best... ..."
Cited by 99
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