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Table 1: Binary variables/Constraints comparison

in An Efficient Formulation for Minimizing the Number of Late Jobs in Single-Machine Scheduling
by Stephane Dauzere-Peres, Marc Sevaux 1998
"... In PAGE 8: ... Again, tighter cuts can be generated similarly to cuts (20). 5 Comparison between formulations Table1 presents a comparison between the four formulations, in particular on the number of binary variables and constraints. The row Weighted indicates if the weigted case can be easily considered with the formulation.... ..."
Cited by 1

TABLE 2 Absolute and relative frequencies of the binary variables.

in The Professional Career Of Sociologists: A Graphical Chain Model Reflecting Early Influences And Associations
by Iris Pigeot, Astrid Heinicke, Angelika Caputo, Josef Brüderl 1997
Cited by 2

Table 7 Logistic regressions relating the probability of censure by the Review Panel to measures of earnings performance, leverage, new equity issues, board structure, ownership structure and auditor type. The sample comprises 47 Review Panel firms and 47 control firms. Each of the 47 Review Panel firms is matched with a control firm on the basis of industry and size (total assets employed) at the beginning of the year in which the defective financial report was issued.

in What Factors Drive Low Accounting Quality? An Analysis of Firms Subject to Adverse Rulings by the Financial Reporting Review Panel
by K. V. Peasnell, P. F. Pope, S. Young

TABLE II BINARY VARIABLESUSEDTO ASSESSDECISIONFACTORS Factor Binary Variable

in Computational Intelligence and Games (CIG 2007) An Investigation into Tournament Poker Strategy using Evolutionary Algorithms
by Richard G. Carter

Table 4. Comparison of misclassification error rates for single and bagged KDE classifiers

in Bagging classifiers based on Kernel density estimators
by Edgar Acuna, Alex Rojas

Table 1: Descriptive statistics for all predictor variables Binary variables Yes No

in Using LSA to automatically identify givenness and newness of noun phrases in written discourse
by Christian F. Hempelmann, David Dufty, Philip M. Mccarthy, Arthur C. Graesser, Zhiqiang Cai, Danielle S. Mcnamara 2005
"... In PAGE 4: ... The second was the span measure between the NP and all previous noun-phrases. Table1 shows descriptive statistics for all predictor variables. The relative frequencies for the criteria variable, Prince category, across all 478 NPs were 317, 116, and 45, for given, inferable, and new observations, respectively.... ..."
Cited by 2

Table 1: Problem description with di erent tmax and number of binary variables

in Rounding Strategies for Mixed Integer Programs Arising from Chemical Production Planning
by Rainer E. Burkard, Michael Kocher, Rüdiger Rudolf
"... In PAGE 10: ... In all test problems three di erent nal products are to be produced. Table1 contains all di erent problems together with the considered values of tmax and the corresponding number of binary variables. Here Problem 24-13-10 means that 24 kg of nal product P1, 17 kg of... ..."

Table 1: A database of cases over two binary variables.

in Probabilistic Network Construction Using the Minimum Description Length Principle
by Remco R. Bouckaert 1993
Cited by 28

Table 3.2: Total Number of Binary Variables

in unknown title
by unknown authors 2003

Table 5.6: Percent of Binary Variables Pruned in MILP |D|

in Directional Communications to Improve Multicast Lifetime in Ad Hoc
by Kerry Wood, Dr. C. Patrick Koelling, Kerry Wood 2006
Results 1 - 10 of 31,791