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Table 2: Characteristics of the Guinea Pigs

in C-REX: An Evolutionary Code Extractor for C
by Ahmed E. Hassan, Richard C. Holt
"... In PAGE 9: ...Table 2: Characteristics of the Guinea Pigs The output of C-REX has been used by us in previous studies to examine the change propagation phenomena [15] and to assist developers in understanding large legacy systems [17]. Table2 shows descriptive statistics for our Guinea Pigs. We now show brief results to demonstrate the usefulness of C- REX.... ..."

Table 4 The estimated material properties of pig liver through inverse solution Pig #1 Pig #2

in
by unknown authors 2007
"... In PAGE 9: ... The flow chart of the optimi- zation process is given in Fig. 6 and the material properties of three pigs estimated from the inverse solution are given in Table4 . The results of the inverse solution and the experimental data are compared in Figs.... ..."

Table 1: Text Editor Guinea Pigs Text

in Cloning by Accident: An Empirical Study of Source Code Cloning across Software Systems
by Raihan Al-Ekram, Cory Kapser, Richard Holt, Michael Godfrey 2005
"... In PAGE 6: ... In this domain we have selected most commonly used text editors as guinea pigs for analysis: Emacs, Gedit, Glimmer, Nano, Nedit, Pico, Vi, Vim and Xenon. Table1 lists the basic information about them. Table 1: Text Editor Guinea Pigs Text ... In PAGE 14: ... Table 10 presents a typical instance of such code. Table1 0: Example Clones in Setup Phase _XA_XdndPosition = XInternAtom(dpy, quot;XdndPosition quot;, False); _XA_XdndStatus = XInternAtom(dpy, quot;XdndStatus quot;, False); _XA_XdndActionCopy = XInternAtom(dpy, quot;XdndActionCopy quot;, False); _XA_XdndSelection = XInternAtom(dpy, quot;XdndSelection quot;, False); _XA_XdndFinished = XInternAtom(dpy, quot;XdndFinished quot;, False); The type of clone associated with this type of code in the window managers would be considered a template clone by Kim et al. [15] .... ..."
Cited by 5

Table 2: Expected utilities of selected strategies in PIGS.

in Representing and Solving Decision Problems with Limited Information
by Steffen L. Lauritzen, Dennis Nilsson 2001
"... In PAGE 23: ... Treat in the last month if and only if the test results are positive in the third month or in both of the first and second months. Table2 displays the expected utility of a number of interesting strategies. Note how close the best LIMID strategy is to the best ID strategy for the problem.... ..."
Cited by 29

Table 3 Developing Country Demand and Trade: Meat

in Traditional Domestic Markets and Marketing Systems for Agricultural Products." Background paper for the WDR
by Andrew Dorward, Andrew Dorward, Jonathan Kydd, Jonathan Kydd, Colin Poulton, Colin Poulton 2006
"... In PAGE 2: ...ibliography .................................................................................................................................................................32 Table 1 Developing Country Demand and Trade: Cereals 37 Table 2 Developing Country Demand: Roots amp; Tubers 37 Table3 Developing Country Demand and Trade: Meat 38 1 We are grateful to Angus Selby for research assistance and Nigel Poole for comments on an earlier draft of this paper. ... ..."
Cited by 1

Table 8: Window Manager Guinea Pigs Window

in Cloning by Accident: An Empirical Study of Source Code Cloning across Software Systems
by Raihan Al-Ekram, Cory Kapser, Richard Holt, Michael Godfrey 2005
"... In PAGE 13: ...lones. This was certainly true in this case study. The cause of the many overlapping clones was a series of code segments that were reasonably simple in structure that could be aligned as clones in many different ways. Table8 shows the amount of cloning occurring in each subject of the case study. Immediately, we can see that there is very little cloning that happens between the software systems.... ..."
Cited by 5

Table : Vocabulary and neighborhoods of The Three Little Pigs

in Imaginary playmates in real-time or why online games suck
by Yuri Tarnopolsky 1997
Cited by 1

Table 1. Concept PIGS OC1 Statistics

in Polygonal Inductive Generalisation System D.A.Newlands and G.I.Webb
by unknown authors 2005

Table 3 presents the measured values of clp and pig

in Abstract End-to-End Packet Delay and Loss Behavior in the Internet
by Jean-chrysostome Bolot

Table 2: The Lamb Meat Tenderness Regression Results

in Lamb Meat Tenderness Prediction Using
by Neural Networks And, Paulo Cortez, Manuel Portelinha, Ra Rodrigues, Vasco Cadavez, Alfredo Teixeira
"... In PAGE 4: ... This means that in each of these 50 experiments, 90% of the data is used for learning and 10% for testing. The results are shown in Table2 , in terms of the average of the test errors obtained over the 50 experiments. Table 2: The Lamb Meat Tenderness Regression Results... In PAGE 4: ... Since non relevant inputs may affect the performance, an- other setup, called Neural Network Ensemble based on Sen- sitivity Analysis (NNESA), was devised by considering the most important inputs of Table 3. Indeed, the NNESA method managed to obtain the best results ( Table2 ), outperforming the NNE approach, specially for the STP task. In Table 3, the sensitivity values were also presented for this last method.... ..."
Results 1 - 10 of 296