Results 21 - 30 of 171

Table 1: Relation between ORM constructs and ER symbols

in Towards a Unifying Object Role Modelling Theory
by Brouwer Martens Bronts, S. J. Brouwer, C. L. J. Martens, G. H. W. M. Bronts, H. A. Proper 1994
Cited by 1

Table 3: Relation between ORM constructs and pure NIAM symbols

in Towards a Unifying Object Role Modelling Theory
by Brouwer Martens Bronts, S. J. Brouwer, C. L. J. Martens, G. H. W. M. Bronts, H. A. Proper 1994
Cited by 1

Table 1: Relation between ORM constructs and ER symbols

in A Unifying Object Role Modelling Theory
by G. H. W. M. Bronts, S. J. Brouwer, C. L. J. Martens, H. A. Proper 2004

Table 3: Relation between ER+ symbols and ORM constructs

in A Unifying Object Role Modelling Theory
by G. H. W. M. Bronts, S. J. Brouwer, C. L. J. Martens, H. A. Proper 2004

Table 5: Relation between ORM constructs and pure NIAM symbols

in A Unifying Object Role Modelling Theory
by G. H. W. M. Bronts, S. J. Brouwer, C. L. J. Martens, H. A. Proper 2004

Table 6. The NO SOFA and ORM performances (in per- centage).

in Organ Failure Diagnosis by Artificial Neural Networks
by Alvaro Silva, Paulo Cortez, Serviço De Cuidados Intensivos, Lopes Gomes, Clínica Médica I, Inst Ciências, Biomédicas Abel Salazar
"... In PAGE 4: ... Ideally, a test should report both high PR and NR values, which suggest a high level of con dence [10]. In fact, there seems to be a trade-off between these two characteristics, since when the SOFA values are not present ( Table6 ), the PR val- ues suffer a huge decrease (sensitivity loss), while the NR values increase (speci city gain). 4.... ..."

Table 7. The balanced NO SOFA and ORM performances (in percentage).

in Organ Failure Diagnosis by Artificial Neural Networks
by Alvaro Silva, Paulo Cortez, Serviço De Cuidados Intensivos, Lopes Gomes, Clínica Médica I, Inst Ciências, Biomédicas Abel Salazar
"... In PAGE 4: ...raining data; i.e., to use an equal number of true and false learning examples. Therefore, another set of experiments was devised ( Table7 ), using random sampling training sets, which contained 2=3 of the true examples, plus an equal number of false examples. The test set was composed of the other 1=3 positive entries.... ..."

Table 2. Pe orm of CR WS Nu re

in Word Sense Disambiguation through Sememe Labeling
by Xiangyu Duan, Jun Zhao, Bo Xu
"... In PAGE 5: ... repre hyperny plus hy- ing DefSpace (ExD etter than sequentia s in trees are easie rf ance ML F in D. mbers a of po emous ord th ect to Table2 shows the performance of MLCRF in WSD. c sents common features that presented in table 1 except m features.... ..."

Table 3: Main sources of acquiring OR/MS knowledge Source of acquiring OR Knowledge Frequency %

in unknown title
by unknown authors
"... In PAGE 5: ...5 Sources of acquiring OR/MS knowledge Table3 presents the main sources of acquiring OR/MS knowledge. Results in the table show that there are several sources of acquiring OR/MS knowledge.... ..."

Table 1 Basic correspondence between ORM and UML conceptual concepts for data models Data instances/structures Constraints

in Data modeling in UML and ORM: a comparison
by Terry Halpin, Anthony Bloesch 1999
"... In PAGE 4: ...Data structures Table1 summarizes the main correspondences between conceptual data modeling concepts in ORM and UML. In this section we consider the left half of the table.... ..."
Cited by 12
Results 21 - 30 of 171