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What Works Clearinghouse Rating
Peer reviewedHuang, Xiangji; Robertson, S. E. – Journal of Documentation, 1997
Discusses the use of text retrieval methods based on probabilistic models with Chinese language material, which are modeled on the Okapi information retrieval system. Topics include system architecture, test collections, weighting functions, and algorithms. (Author/LRW)
Descriptors: Algorithms, Chinese, Computer System Design, Information Retrieval
Peer reviewedBoughanem, M.; Christment, C.; Tamine, L. – Journal of the American Society for Information Science and Technology, 2002
Presents a genetic relevance optimization process performed in an information retrieval system that uses genetic techniques for solving multimodal problems (niching) and query reformulation techniques. Explains that the niching technique allows the process to reach different relevance regions of the document space, and that query reformulations…
Descriptors: Algorithms, Genetics, Information Retrieval, Relevance (Information Retrieval)
Peer reviewedUratani, Noriyoshi; Takeda, Masayuki – Information Processing and Management, 1993
Describes a string-searching algorithm for multiple patterns in a text string; explains the construction of a pattern-matching machine; presents a theoretical analysis and empirical evidence that supports the sublinearity of the algorithm; and compares this algorithm with the Boyer-Moore algorithm for a single pattern. (Contains 10 references.)…
Descriptors: Algorithms, Comparative Analysis, Information Retrieval, Mathematical Formulas
Peer reviewedJamshidian, Mortaza; Bentler, Peter M. – Journal of Educational and Behavioral Statistics, 1999
Describes the maximum likelihood (ML) estimation of mean and covariance structure models when data are missing. Describes expectation maximization (EM), generalized expectation maximization, Fletcher-Powell, and Fisher-scoring algorithms for parameter estimation and shows how software can be used to implement each algorithm. (Author/SLD)
Descriptors: Algorithms, Estimation (Mathematics), Maximum Likelihood Statistics, Scoring
Peer reviewedLeenen, Iwin; Van Mechelen, Iven; De Boeck, Paul; Rosenberg, Seymour – Psychometrika, 1999
Presents a three-way, three-mode extension of the two-way, two-mode hierarchical classes model of P. De Boeck and S. Rosenberg (1998) for the analysis of individual differences in binary object x attribute arrays. Illustrates the model with data on psychiatric diagnosis and discusses the relation between the model and other extant models. (SLD)
Descriptors: Algorithms, Individual Differences, Models, Set Theory
Peer reviewedKulyukin, Vladimir A.; Settle, Amber – Journal of the American Society for Information Science and Technology, 2001
Discussion of semantic networks and ranked retrieval focuses on two models, the semantic network model with spreading activation and the vector space model with dot product. Suggests a formal method to analyze the two models in terms of their relative performance in the same universe of objects. (Author/LRW)
Descriptors: Algorithms, Information Retrieval, Models, Relevance (Information Retrieval)
Peer reviewedGuerrero Bote, Vicente P.; Moya Anegon, Felix de; Herrero Solana, Victor – Information Processing & Management, 2002
Discussion of the classification of documents from bibliographic databases focuses on a method of vectorizing reference documents from LISA (Library and Information Science Abstracts) which permits their topological organization using Kohonen's algorithm. Analyzes possibilities of this type of neural network with respect to the development of…
Descriptors: Algorithms, Bibliographic Databases, Classification, Information Retrieval
Dabell, John – Basic Skills, 2001
Describes strategies for teaching elementary students to solve a multiplication problem using the lattice method. (JOW)
Descriptors: Algorithms, Elementary Education, Multiplication, Numeracy
Peer reviewedBerry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1986
An algorithm and associated FORTRAN-77 computer subroutine are described for computing Goodman and Kruskal's tau-b statistic along with the associated nonasymptotic probability value under the null hypothesis tau=O. (Author)
Descriptors: Algorithms, Computer Software, Programing Languages, Sampling
Peer reviewedJacquot, Raymond G.; And Others – CoED, 1985
Presents a technique for the numerical inversion of Laplace Transforms and several examples employing this technique. Limitations of the method in terms of available computer word length and the effects of these limitations on approximate inverse functions are also discussed. (JN)
Descriptors: Algorithms, Computer Software, Engineering, Engineering Education
Peer reviewedJones, Gareth; And Others – Online & CD-ROM Review, 1994
Genetic algorithms, a class of nondeterministic algorithms in which the role of chance makes the precise nature of a solution impossible to guarantee, seem to be well suited to combinatorial-optimization problems in information retrieval. Provides an introduction to techniques and characteristics of genetic algorithms and illustrates their…
Descriptors: Algorithms, Information Retrieval, Information Science, Online Searching
Peer reviewedHoenkamp, Eduard – Journal of the American Society for Information Science and Technology, 2003
Discusses latent semantic indexing (LSI) that would allow search engines to reduce the dimension of the document space by mapping it into a space spanned by conceptual indices. Topics include vector space models; singular value decomposition (SVD); unitary operators; the Haar transform; and new algorithms. (Author/LRW)
Descriptors: Algorithms, Information Retrieval, Mathematical Formulas, Models
Peer reviewedSeltzer, Michael; Novak, John; Choi, Kilchan; Lim, Nelson – Journal of Educational and Behavioral Statistics, 2002
Examines the ways in which level-1 outliers can impact the estimation of fixed effects and random effects in hierarchical models (HMs). Also outlines and illustrates the use of Markov Chain Monte Carlo algorithms for conducting sensitivity analyses under "t" level-1 assumptions, including algorithms for settings in which the degrees of…
Descriptors: Algorithms, Estimation (Mathematics), Markov Processes, Monte Carlo Methods
Peer reviewedDominich, Sandor – Journal of Documentation, 1994
Discussion of information retrieval focuses on an Interaction Information Retrieval model in which documents are interconnected; queries and documents are treated in the same way; and retrieval is the result of the interconnection between query and documents. A theoretical mathematical formulation of this type of retrieval is given. (Contains 31…
Descriptors: Algorithms, Documentation, Information Retrieval, Interaction
Peer reviewedIachan, Ronaldo – Journal of Vocational Behavior, 1990
Extends Iachan's congruence index (1984) to cover situations when ties occur in three-letter codes (as used in Holland's vocational theory) and when only two top letters are recorded and/or used. Suggests methodologies for breaking ties and for measuring agreement between two-letter codes and includes computer algorithm for computing the index.…
Descriptors: Algorithms, Congruence (Psychology), Counseling Theories, Data Analysis


