• Referenced in 134 articles [sw06484]
• VIKOR), Data Envelopment Analysis (DEA), Preference Ranking METHod for Enrichment Evaluations (PROMETHEE), ELimination Et Choix ... Additive (UTA), and Ordered Weighted Averaging (OWA). The existing MADM methods are improved upon ... three novel multiple attribute decision making methods for solving the decision making problems ... proposed subjective and objective integrated weights (SOIW) method and the weighted Euclidean distance based approach...
• # NBI

• Referenced in 217 articles [sw05075]
• property which the popular method of minimizing weighted combinations of objective functions lacks. Further, this...
• # sbw

• Referenced in 19 articles [sw21948]
• estimation with incomplete outcome data. Weighting methods that adjust for observed covariates, such as inverse ... limitations, this article presents a new weighting method that finds the weights of minimum variance ... three-way marginals. Since the weighting method is based on a well-defined convex optimization ... variance of the weights? Also, the weighting method runs in polynomial time so relatively large...
• # Scotch

• Referenced in 83 articles [sw07818]
• machine are modeled in terms of weighted unoriented graphs, this problem amounts to static graph ... application of any of several graph bipartitioning methods, including Fiduccia-Mattheyses, Gibbs-Poole ... Stockmeyer, and multi-level methods. Scotch can map any weighted process graph onto any weighted ... brief descriptions of the algorithm and bipartitioning methods, detail the input/output formats, instructions...
• # Scatter Search

• Referenced in 297 articles [sw05291]
• premise that systematic designs and methods for creating new solutions afford significant benefits beyond those ... that proves effective when searching for optimal weight values in a multilayer neural network. Through...
• # MCODE

• Referenced in 49 articles [sw35748]
• represent molecular complexes. The method is based on vertex weighting by local neighborhood density ... advantage over other graph clustering methods of having a directed mode that allows fine-tuning...
• # CGAL

• Referenced in 402 articles [sw00118]
• robotics and motion planning, mesh generation, numerical methods... More on the projects using CGAL ... points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight...
• # Biq Mac

• Referenced in 89 articles [sw10532]
• semidefinite and polyhedral relaxations. We present a method for finding exact solutions ... problem of finding a cut of maximum weight in a weighted graph ... applies a dynamic version of the bundle method as bounding procedure. This approach uses Lagrangian...
• # weightedScores

• Referenced in 10 articles [sw12457]
• weightedScores: Weighted Scores Method for Regression Models with Dependent Data. Has functions that handle ... steps for the weighted scores method in Nikoloulopoulos, Joe and Chaganty (2011, Biostatistics...
• # Voom

• Referenced in 19 articles [sw14009]
• Voom: precision weights unlock linear model analysis tools for RNA-seq read counts. New normal ... method estimates the mean-variance relationship of the log-counts, generates a precision weight ... better than count-based RNA-seq methods even when the data are generated according...
• # DEVEX

• Referenced in 100 articles [sw08378]
• code. Pivot column and row selection methods used by the Devex code since ... iteration process, the author introduces dynamic column weighting factors as a means of estimating gradients ... iteration advantages over the standard simplex methods used today. The final illustration highlights why these...
• # MWMOTE

• Referenced in 14 articles [sw32596]
• MWMOTE - Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning. Imbalanced learning problems contain ... learn the minority class samples. Synthetic oversampling methods address this problem by generating the synthetic ... this end, a new method, called Majority Weighted Minority Oversampling TEchnique (MWMOTE), is presented ... then generates the synthetic samples from the weighted informative minority class samples using a clustering...
• # Algorithm 840

• Referenced in 27 articles [sw04463]
• grid points, quadrature weights and derivatives for spectral element methods using prolate spheroidal wave functions ... prolate elements High order domain decomposition methods using a basis of Legendre polynomials, known variously ... grid points $x_j$, the quadrature weights $w_j$, and the values of the prolate...