• DistAl

  • Referenced in 99 articles [sw01746]
  • attractive framework for the design of pattern classification systems. A new constructive neural network learning ... favorably with other learning algorithms for pattern classification...
  • SSVM

  • Referenced in 60 articles [sw12678]
  • SSVM: A smooth support vector machine for classification. Smoothing methods, extensively used for solving important ... support vector machine for pattern classification using a completely arbitrary kernel. We term such reformulation...
  • CMAR

  • Referenced in 47 articles [sw28406]
  • Classification based on Multiple Association Rules. The method extends an efficient frequent pattern mining method ... confidence, correlation and database coverage. The classification is performed based on a weighted /spl...
  • SVMlight

  • Referenced in 260 articles [sw04076]
  • Machine [Vapnik, 1995] for the problem of pattern recognition, for the problem of regression ... large range of problems, including text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics...
  • PCP

  • Referenced in 3 articles [sw30033]
  • gene expression profiles. Summary: PCP (Pattern Classification Program) is an open-source machine learning program ... supervised classification of patterns (vectors of measurements). The principal use of PCP in bioinformatics ... gene expression. PCP implements leading pattern classification and gene selection algorithms and incorporates cross-validation...
  • PyMVPA

  • Referenced in 5 articles [sw15259]
  • packages that facilitate multivariate pattern classification analyses of fMRI data. Here we introduce a Python...
  • SnapPea

  • Referenced in 156 articles [sw06873]
  • combinatorially there are too many gluing patterns already for a small number of tetrahedra ... hints on the distribution and on possible classification schemes for hyperbolic 3-manifolds, besides giving...
  • stream

  • Referenced in 2 articles [sw23392]
  • with data streams include clustering, classification and frequent pattern mining. New algorithms for these types ... data stream mining tasks like classification and frequent pattern mining...
  • ParaGro

  • Referenced in 1 article [sw01956]
  • popular for tasks in data visualization, pattern classification or natural language processing ... used to recognize parts of patterns in the input space that have already been learned...
  • TPMSVM

  • Referenced in 13 articles [sw12692]
  • pattern recognition. A novel twin parametric-margin support vector machine (TPMSVM) for classification is proposed...
  • VideoCube

  • Referenced in 1 article [sw01733]
  • clips in “vocabularies”, we can do classification and pattern discovery. For the classification...
  • Eclat

  • Referenced in 7 articles [sw07273]
  • Eclat: Automatic Generation and Classification of Test Inputs This paper describes a technique that selects ... software’s operation. Then, inputs whose operational pattern of execution differs from the model ... selecting only one input per operational pattern. The result is a small portion ... classification-guided test input generation technique that also makes use of operational models and patterns...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • using classification and regression trees (CART) from statistical pattern recognition. The CART partition defines desirable...
  • dd_tools

  • Referenced in 9 articles [sw14334]
  • sometimes restricts) it to one-class classification. This means, that before ... PRTools. When you are completely new to pattern recognition, Matlab or PRTools, please familiarize yourself...
  • PIRSF

  • Referenced in 1 article [sw22978]
  • length proteins and domains. The primary PIRSF classification unit is the homeomorphic family, whose members ... association, genome context, and phyletic pattern. The results of classification and expert annotation are summarized...
  • BLINC

  • Referenced in 9 articles [sw30333]
  • BLINC: multilevel traffic classification in the dark. We present a fundamentally different approach to classifying ... approach is based on observing and identifying patterns of host behavior at the transport layer ... analyze these patterns at three levels of increasing detail (i) the social, (ii) the functional ... tuned to balance the accuracy of the classification versus the number of successfully classified traffic...
  • LS-SVMlab

  • Referenced in 25 articles [sw07367]
  • powerful methodology for solving problems in nonlinear classification, function estimation and density estimation which ... interpretations. Links between kernel versions of classical pattern recognition algorithms such as kernel Fisher discriminant...
  • rotationForest

  • Referenced in 3 articles [sw24760]
  • Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 ”) for binary classification. Rotation...
  • FlexibleQL

  • Referenced in 1 article [sw02014]
  • rules and mining other patterns of data mining, such as classification and clustering, the complete ... languages. 4) Post-processing of the discovered patterns for later use and preprocessing...
  • FST

  • Referenced in 4 articles [sw25371]
  • purpose of feature selection in statistical pattern recognition is presented. The software tool includes both ... methods suitable for dimensionality reduction, classification and data representation. Examples of solved problems are given...