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Table 2: Supported associations

in unknown title
by unknown authors
"... In PAGE 5: ...able 1: Diagram Patterns in alfabet........................................................................................ 30 Table2 : Comparison of metamodeling environments .... In PAGE 31: ... These features come into play when a change in a model requires updating other models in the abstraction hierarchy None of the reviewed metamodeling environment brings together in a single system the best of the capabilities offered by specialized tools. In Table2 , a representative sample of the available metamodeling environments is benchmarked against a set of criteria considered highly important. Please notice that the last column in that table refers to System Architect, a product that will be analyzed in section 3.... In PAGE 32: ...32 Table2 : Comparison of metamodeling environments alfabet GME MetaEdit+ System Architect Semantic validity checks Automatic link maintenance. Checks must be coded as scripts to be invoked by the platform (events) OCL (at beta stage) Fill-in-the- blanks customization.... In PAGE 33: ... Model definition export possible only in ASCII text format. Tools that export/import from MS Repository can be used with GME A reporting tool with textual files as output Output can be prepared with VBA (Visual Basic for Applications) GUI builder for forms-based dialogs Yes Executable models User-defined methods can be added to classes Yes, provided they follow a data-flow scheme Yes (partial) No Source-code generation No Yes Yes (partial) Query language over modelbases Extended SQL No Scripting of the tool Only as DLL (Dynamic Link Library), using C++ COM (Component Object Model) Java-like, proprietary, inside the tool Visual Basic for Applications amp; ActiveX Automation Table2... ..."

Table 1: Results on test set: closed challenge parsing using support vector machines. Technical Re- port CSLR-2003-01, Center for Spoken Language Re- search, University of Colorado at Boulder.

in A Transformation-Based Approach to Argument Labeling
by Derrick Higgins
"... In PAGE 4: ... This affected fewer than twenty labels on the development data, and added only about 0:1 to the overall f-measure. 4 Results The results on the test section of the CoNLL 2004 data are presented in Table1 below. The overall result, an f- score of 60:66, is considerably below results reported for systems using a parser on a comparable data set.... ..."

Table 3: Supported architectures and associated binfile directory names

in unknown title
by unknown authors
"... In PAGE 12: ...uring an ongoing session compilation results are partially kept in main memory. This greatly reduces file system traffic. Binfiles are located in a subdirectory whose name is derived from the name of the target machine architecture and the flavor of operating system running on that platform. Table3 shows the architectures which are currently supported together with their associated binfile directory names. The binfiles themselves use the suffix .... ..."
Cited by 2

Table 2: Results on the Toxicology Dataset Support Vector Machines

in Automated Approaches for Classifying Structures
by Mukund Deshpande, Michihiro Kuramochi, George Karypis
"... In PAGE 9: ... Varying the Misclassification Cost The first set of experiments were conducted by changing the misclassifi- cation cost in the SVM classifier so as to associate higher misclassification cost for incorrectly classifying positive examples. The results of the experiments using SVM and classification rules classifier are displayed in Table2 . Each cell in the table indicates the area under the ROC curve for that classifier and misclassification cost value.... ..."

Table 2: Results on the Toxicology Dataset Support Vector Machines

in Automated approaches for classifying structures
by Mukund Deshpande, Michihiro Kuramochi, George Karypis
"... In PAGE 9: ... Varying the Misclassification Cost The first set of experiments were conducted by changing the misclassifi- cation cost in the SVM classifier so as to associate higher misclassification cost for incorrectly classifying positive examples. The results of the experiments using SVM and classification rules classifier are displayed in Table2 . Each cell in the table indicates the area under the ROC curve for that classifier and misclassification cost value.... ..."

Table 2: Results on the Toxicology Dataset Support Vector Machines

in Automated approaches for classifying structures
by Mukund Deshpande, Michihiro Kuramochi, George Karypis
"... In PAGE 9: ... Varying the Misclassification Cost The first set of experiments were conducted by changing the misclassifi- cation cost in the SVM classifier so as to associate higher misclassification cost for incorrectly classifying positive examples. The results of the experiments using SVM and classification rules classifier are displayed in Table2 . Each cell in the table indicates the area under the ROC curve for that classifier and misclassification cost value.... ..."

Table 1. Axioms for the algebraic theory of the language

in The Semantics of the Combination of Atomized Statements and Parallel Choice
by Peter M.W. Knijnenburg, Joost N. Kok
"... In PAGE 14: ...1. The axioms for the algebraic theory of the language are given in Table1 . In the de nition we assume ADSeq(d), ADSeq(di), ASeq(w) and ASeq(wi) for i = 1; 2.... In PAGE 14: ... Note that we do not have an axiom x+y = y +x. This equality is derivable using the axioms in Table1 , in particular, Axiom 1. The axioms in the above de nition are not su cient to prove equality of programs like ha; b; ci and ha; hb; cii.... ..."

Table 1. Algebra operations supported in the OM model

in OMS/Java: Model Extensibility of OODBMS for Advanced Application Domains
by Andreas Steiner, Adrian Kobler, Moira C. Norrie 1998
"... In PAGE 8: ...A list of operations supported in OM is given in Table1 . The algebra includes operations suchasunion, intersection, di#0Berence, cross product, #0Datten, selection, map and reduce as well as special operations over binary collections suchas domain, range, inverse, compose and closure.... In PAGE 9: ... The OM model also supports special operations over binary collections. Some of them are listed in the second part of Table1 . The domain operation takes a binary collection and forms a collection of all the objects that appear as the #0Crst element of a pair of objects #3Coid 1 , oid 2 #3E belonging to the binary col- lection, whereas the range operation returns a collection containing the second elements of such pairs.... ..."
Cited by 5

Table 2. Classification of BRCA1- and BRCA2-associated breast cancers using support vector machines and leave-one-out classification

in unknown title
by unknown authors
"... In PAGE 6: ...breast tumor samples accurately identified them as positive or negative for BRCA1 mutations or positive or negative for BRCA2 mutations ( Table2 ). Eleven of 12 samples with BRCA1 mutation were correctly identified in the BRCA1 classification.... ..."

Table 2, where we use the meta-variables e and e0 to range over the set Mp. Note that the operations in the algebra Mp are monotonic with respect to set inclusion. Therefore we have given Mp the structure of an ordered algebra over the signature of the language (REG(a)), in the sense of [2].

in On a Question of A. Salomaa - The Equational Theory of Regular Expressions over a Singleton Alphabet is not Finitely Based
by Luca Aceto, Wan Fokkink, Anna Ingólfsdóttir 1996
"... In PAGE 8: ... Table2 : The operations of the algebra Mp An Mp-environment is a mapping from variables to the set Mp. For an expression P and an Mp-environment , we shall use Mp[[P ]] to denote the element of Mp that is associated with the expression P by the unique homomorphic extension of to (REG(a)).... ..."
Cited by 8
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