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Peer reviewedArtandi, Susan – Journal of the American Society for Information Science, 1976
The implications of some major linguistic and semiotic concepts for the machine manipulation of natural language text are examined. It is proposed that the study of meaning should contribute to the development of sophisticated algorithms for machine indexing. (Author)
Descriptors: Algorithms, Automatic Indexing, Computational Linguistics, Indexing
King, Jason E. – 2002
A review of the literature reveals that important statistical algorithms and indices pertaining to logistic regression are being underused. This paper describes logistic regression in comparison with discriminant analysis and linear regression, and suggests that some techniques only accessible through computer syntax should be consulted in…
Descriptors: Algorithms, Computer Software, Discriminant Analysis, Literature Reviews
Schuegraf, E. J. – Information Storage and Retrieval, 1973
The design of programs to search large document data bases is discussed with regard to the use of compression coding combined with adoption of word fragments as the basic language elements. An algorithm is described for determination of a set of almost equifrequent fragments. Its efficiency is tested. (23 references) (Author)
Descriptors: Algorithms, Computer Programs, Information Retrieval, Information Storage
Peer reviewedGoff, Gerald K.; McKellips, Terral L. – Mathematics Teacher, 1974
Descriptors: Algebra, Algorithms, Matrices, Multiplication
Peer reviewedDraim, N. A. – Mathematics Teacher, 1973
Descriptors: Algorithms, College Mathematics, Division, Instruction
Peer reviewedBoas, R. P., Jr. – Two-Year College Mathematics Journal, 1972
The problem of getting a correct result when a fraction is reduced by cancelling a digit which appears in both the numerator and the denominator is extended from the base ten situation to any number base. (DT)
Descriptors: Algorithms, College Mathematics, Fractions, Mathematics
Peer reviewedNiebaum, Jerome – Mathematics Teacher, 1973
Descriptors: Algebra, Algorithms, Instruction, Mathematics
Peer reviewedEperson, D. B. – Mathematics in School, 1973
Descriptors: Algorithms, Mathematics, Number Concepts, Secondary School Mathematics
Lunn, Geoffrey – New Univ, 1969
Descriptors: Algorithms, Insurance Companies, On the Job Training, Programed Instruction
Peer reviewedRogers, Joseph W.; Rogers, Margaret Anne – Mathematics Teacher, 1972
Descriptors: Algebra, Algorithms, Fractions, Instruction
Bung, Klaus – Programmed Learning and Educational Technology, 1971
Descriptors: Algorithms, Programed Instruction, Programed Instructional Materials, Second Language Learning
Peer reviewedMiyano, Hisao; Inukai, Yukio – Psychometrika, 1982
The concept of sequential estimation is introduced in multidimensional scaling. The sequential estimation method developed in this paper refers to continually updating estimates of a configuration as new observations are added. Using artificial data, the performance of this sequential method is illustrated. (Author/JKS)
Descriptors: Algorithms, Data Analysis, Estimation (Mathematics), Multidimensional Scaling
Peer reviewedFerligoj, Anuska; Batagelj, Vladimir – Psychometrika, 1982
Using constraints with cluster analysis limits the possible number of clusters. This paper deals with clustering problems where grouping is constrained by a symmetric and reflexive relation. Two approaches, along with illustrations, are presented. (Author/JKS)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Mathematical Models
Peer reviewedDesarbo, Wayne S. – Psychometrika, 1982
A general class of nonhierarchical clustering models and associated algorithms for fitting them are presented. These models generalize the Shepard-Arabie Additive clusters model. Two applications are given and extensions to three-way models, nonmetric analyses, and other model specifications are provided. (Author/JKS)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Mathematical Models
Peer reviewedYannakoudakis, E. J.; Fawthrop, D. – Information Processing and Management, 1983
Results of analysis of 1,377 spelling error forms including three categories of spelling errors (consonantal, vowel, and sequential) demonstrate that majority of spelling errors are highly predictable when set of predefined rules based on phonological and sequential considerations are followed algorithmically. Eleven references and equivalent…
Descriptors: Algorithms, Computer Programs, Consonants, Error Patterns


