Results 1 - 10 of 103,236

TABLE IV. Cross-section factor S(0) for the reaction 14N(p,g)15O. The proton energies Ep at which measurements were made are indicated.

in Solar fusion cross sections
by Eric G. Adelberger, Sam M. Austin, John N. Bahcall, A. B. Balantekin, Gilles Bogaert, Lowell S. Brown, Lothar Buchmann, F. Edward Cecil, Arthur E. Champagne, Ludwig De Braeckeleer, Charles A. Duba, Steven R. Elliott, Stuart J. Freedman, Moshe Gai, G. Goldring, Christopher R. Gould, Andrei Gruzinov, Wick C. Haxton, Karsten M. Heeger, Ernest Henley, Calvin W. Johnson, Marc Kamionkowski, Ralph W. Kavanagh, Steven E. Koonin, Kuniharu Kubodera, Karlheinz Langanke

Table A.5. Comparisons of Qc69, ELP and EEM (keV) within the major decay-data files for 104Tc (t1/2 = 1098 s) [A.2]

in NUCLEAR ENERGY AGENCY ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT
by On International Evaluation Co-operation, T. Yoshida, A. L. Nichols 2007

Table 2: Experimental data.

in unknown title
by unknown authors
"... In PAGE 5: ... The JS-M percentages were not taken into account, because all the strategies predicted few errors in the JS choices and the empirical values are always very close to zero. The experimental data and the simulation results are presented in Table2 and Table 3 (the number near the strategy label stands for the problem being simulated). Table 2: Experimental data.... ..."

Table 2. Experimental data

in Proof Slicing with Application to Model Checking Web Services
by Hai Huang, Wei-tek Tsai, Raymond Paul
"... In PAGE 7: ... All the experiments are executed on a Linux box with PIII 860M CPU and 1G memory. Experimental data are listed in Table2 . The exp1, exp2, exp3,andexp4 are C-like code translated from OWL-S models, and tut2.... ..."

Table 2. Experimental Data

in Portable Support for Transparent Thread Migration in Java
by Eddy Truyen , Bert Robben, Bart Vanhaute, Tim Coninx, Wouter Joosen, Pierre Verbaeten 2000
"... In PAGE 10: ... This is of course completely dependent on the complexity of the application under consideration. Table2 shows experimental time and file space measurements for two sample programs. File space penalty is relatively high for these examples.... ..."
Cited by 43

Table 2. Experimental Data

in Portable Support for Transparent Thread Migration in Java
by Eddy Truyen Bert, Bert Robben, Bart Vanhaute, Tim Coninx, Wouter Joosen, Pierre Verbaeten 2000
"... In PAGE 10: ... This is of course completely dependent on the complexity of the application under consideration. Table2 shows experimental time and file space measurements for two sample programs. File space penalty is relatively high for these examples.... ..."
Cited by 43

Table 2. Experimental Data

in Portable Support for Transparent Thread Migration in Java
by Eddy Truyen, Bert Robben, Bart Vanhuate, Tim Coninx, Wouter Joosen, Pierre Verbaeten 2000
"... In PAGE 10: ... This is of course completely dependent on the complexity of the application under consideration. Table2 shows experimental time and file space measurements for two sample programs. File space penalty is relatively high for these examples.... ..."
Cited by 43

Table 1 Experimental data

in Learning multi-label scene classification
by Matthew R. Boutell , Jiebo Luo , Xipeng Shen , Christopher M. Brown 2004
"... In PAGE 4: ... However, one im- portant problem with this approach is that the data belong- ing to multiple classes are usually too sparse to build us- able models. Table1 shows the number of various images in our training data. While the number of images belonging to more than one class comprises over 7% of the database, many combined classes (e.... In PAGE 9: ... We then extended the SVM classiFFer to multi-label scene classiFFcation using the training and testing methods de- scribed in Section 3. For training and testing, we used the set of images shown in Table1 . These 2400 images consist of Corel stock photo library and personal images.... In PAGE 11: ... 6. Discussions As shown in Table1 , some combined classes contain very few examples. The above experimental results show that the increase in accuracy due to the cross-training model is statistically signiFFcant; furthermore, these good multi-label results are produced even without an abundance of training data.... ..."

Table 1 Experimental data

in Unsupervised word sense disambiguation using
by Wordnet Relatives, Hee-cheol Seo A, Hoojung Chung A, Hae-chang Rim A, Sung Hyon Myaeng B, Soo-hong Kim C
"... In PAGE 13: ... Unlike the English data, which is tagged with fine-grained senses, the senses in the Korean data are coarse-grained. Detailed information of each corpus is described in Table1 . In this table, num.... ..."

Table 1 Experimental data.

in Conforming Delaunay Triangulations in 3D ⋆ David Cohen-Steiner a, Éric Colin de Verdière b, ∗,
by Mariette Yvinec A
"... In PAGE 18: ...Experimental results The algorithm has been implemented and tested using the Computational Ge- ometry Algorithms Library CGAL 1 . Results for several models are displayed in Table1 and Figures 9, 10, 11, and 12. Table 1 gives for each model, the number of vertices of the input PLC (nb input vertices), the number of 2-faces to which the Delaunay triangulation of input vertices does not conform (non Delaunay faces), and the number of vertices of the conforming output triangulation (nb output vertices).... In PAGE 18: ... Results for several models are displayed in Table 1 and Figures 9, 10, 11, and 12. Table1 gives for each model, the number of vertices of the input PLC (nb input vertices), the number of 2-faces to which the Delaunay triangulation of input vertices does not conform (non Delaunay faces), and the number of vertices of the conforming output triangulation (nb output vertices). In those examples and in most cases, the number of vertices in the output conform- ing triangulation and the number of input vertices are in a ratio comprised between 3 to 1 and 10 to 1.... ..."
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