Titlebook: COMPSTAT; Proceedings in Compu Konstantin Momirovi?,Vesna Mildner Conference proceedings 1990 Springer-Verlag Berlin Heidelberg 1990 Estima

antihistamine

書(shū)目名稱COMPSTAT影響因子(影響力)




書(shū)目名稱COMPSTAT影響因子(影響力)學(xué)科排名




書(shū)目名稱COMPSTAT網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱COMPSTAT網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱COMPSTAT被引頻次




書(shū)目名稱COMPSTAT被引頻次學(xué)科排名




書(shū)目名稱COMPSTAT年度引用




書(shū)目名稱COMPSTAT年度引用學(xué)科排名




書(shū)目名稱COMPSTAT讀者反饋




書(shū)目名稱COMPSTAT讀者反饋學(xué)科排名

Mettle

A Classification Algorithm for Binary Observations Based on Euclidean Representations of Hypergraphser is to classify the vertices of this hypergraph in the way that “similar” vertices (those having many incident edges in common) be of the same cluster. The problem is formulated as follows: given a connected hypergraph with . vertices and fixing the integer . (1 ≤ . ≤ .), we are looking for .-part

談判

Agglomerative Hierarchical Multicriteria Clustering Using Decision Ruleser the agglomerative hierarchical method based on decision rules for making decisions under uncertainty is proposed for solving multicriteria clustering problem. An application of proposed approach to Rosenberg and Kim kinship data is presented.

羊齒

GLIMTREE: RECPAM Trees with the Generalized Linear Modelf special importance, y, which we shall call ., to other variables, here referred to as .. A linear prediction rule is a linear combination of the predictors whose values represent the expected value of the response variable, given the predictors. In the classical paradigm, the outcome variable is a

LAPSE

Prototyping Dynamic Graphics Functions in Sfficient, but non-portable code. Portability is especially important in this area as critical assessment of many of the ideas has yet to be undertaken. We provide crude versions of some existing dynamic graphics operations in the (new) S language [1]. S is UNIX? based and widely distributed. Our fun

我要沮喪

Programming Languages for Statistical Computationspecifically designed for statistical applications [3]..Some interest has been shown in the possible applicability of the functional programming style. For example an implementation of a statistical language based on the functional programming language Lisp has been carried out by Tierney [8]. The g

我要沮喪

indicate

Knowledge Modelling for Statistical Consultation Systems; Two Empirical Studiestical consultation and on the application of analysis methods are so large, that it prevents general acceptance of statistical consultation systems. Of course, one could design a support system based on knowledge acquisition with a single expert. However, we preferred to consider first how serious t

HUSH

ARK

Computer Assisted Interpretation of Conditional Independence Graphset of data. Through the use of CIGE, the computer software described in this paper, it is now possible to represent without ambiguity a much larger number of log-linear models fitted to discrete data, as well as to represent a certain class of models, the covariance selection models, fitted to conti