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Table 4: Hardware used to implement VN.

in The Viuva Negra crawler
by Daniel Gomes, Mário J. Silva 2006
"... In PAGE 21: ... We performed experiments to detect bottlenecks, mal-functions and tune its configuration according to the characteristics of the harvested portion of the web. Table4 summarizes the hardware configurations of the 9 machines used to support VN in our experiments. For instance, a machine with configuration 1 had 2 Pentium 4 processors running at 2.... ..."

Table 4: Mean values for VN (RD) and E(VN) (RW).

in Defining New Words in Corpus Data: Productivity of English Suffixes in the British National Corpus
by unknown authors
"... In PAGE 4: ... 0 ( r r r N V E Here, r is the token frequency of a word, and Nr is the number of word types that occur r times. Table4 contrasts VN under RD and E(VN) under RW. Table 4: Mean values for VN (RD) and E(VN) (RW).... In PAGE 4: ... That is, more new words are captured by RD than by RW. What kind of words are responsible for the discrepancy between RD and RW that is exhibited in Table4 ? Consider causee (undoubtedly new to the majority of English speakers, except perhaps those who are syntacticians), which occurs 9 times in 1 document of the written component of the BNC. Under RW, the probability that all 9 tokens of causee will be distributed into only a single corpus segment is as low as about 0.... ..."

Table 4: N vn (THz) Tn (fs) Sym. vn (THz)

in Coherent phonon spectroscopy of GaAs surfaces using time-resolved second-harmonic generation
by Yu-Ming Chang Li, Yu-ming Chang, Li Xu, Li Xu, Harry W. K. Tom, Harry W. K. Tom
"... In PAGE 19: ...scillations are shown on the left. The Fourier power spectra are shown on the right. The fits to the data are shown in dashed line in the figure and are essentially indistinguishable from the data (shown in solid line). In Table4 we list fit values of mode frequencies and dephasing times as well as the mode frequencies from HREELS data,[65] the ab initio calculation by Fritsch, et al.,[61] and a tight-binding total-energy minimization model calculation.... ..."

Table 1: Bounds and Estimates for k1(Vn).

in Approximate GCD of multivariate polynomials
by L. H. Zhi, M. -t. Noda 2000
Cited by 6

Table 3 Errors in the estimation of V\[N\]

in Models for multi-echelon repairable item inventory systems with limited repair capacity
by Angel Diaz , Michael C. Fu 1995

Table 1: Notations of VN Embedding Problem Gs

in Rethinking Virtual Network Embedding: Substrate Support for Path Splitting and Migration
by Minlan Yu, Yung Yi, Jennifer Rexford, Mung Chiang

Table IV. Hardware used to implement VN.

in The Viúva Negra crawler:
by Daniel Gomes, Mário J. Silva

Table 4.6: Prediction accuracy of P-VN Profit-driven VN Benchmark

in UNIVERSITY OF PITTSBURGH FACULTY OF ARTS AND SCIENCES
by Min Zhao, Min Zhao, Bruce R. Childers, Assistant Professor, Mary Lou Soffa Phd 2006

Table 1: Query processing time of VN3 vs. INE

in Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases
by Mohammad Kolahdouzan, Cyrus Shahabi 2004
"... In PAGE 10: ... Overall Performance of VN3: Our experiments show that the total query response time of VN3 is up to one order of magnitude less than that of INE. Table1 shows the results of comparing query response time between VN3 and the INE ap- proach proposed in [9]. The flrst and second columns specify the entities (or points of interest) and their population and cardinality ratio (i.... ..."
Cited by 24

Table 1: Query processing time of VN3 vs. INE

in Voronoi-based k nearest neighbor search for spatial network databases
by Mohammad Kolahdouzan, Cyrus Shahabi 2004
"... In PAGE 10: ... Overall Performance of VN3: Our experiments show that the total query response time of VN3 is up to one order of magnitude less than that of INE. Table1 shows the results of comparing query response time between VN3 and the INE ap- proach proposed in [9]. The flrst and second columns specify the entities (or points of interest) and their population and cardinality ratio (i.... ..."
Cited by 24
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