• RankGene

  • Referenced in 14 articles [sw12319]
  • tool in gene expression analysis and feature selection. Availability: http://genomics10.bu.edu/yangsu/rankgene...
  • penalizedSVM

  • Referenced in 9 articles [sw15838]
  • package penalizedSVM: Feature Selection SVM using penalty functions. This package provides feature selection SVM using...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • image. These probabilities are then used to select images for display. Details of our model ... simple image features, PicHunter is able to locate randomly selected targets in a database...
  • msgl

  • Referenced in 10 articles [sw26552]
  • with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable...
  • PSNO

  • Referenced in 6 articles [sw27678]
  • properties. Secondly, rather than simply combining the features, which may bring about information redundancy ... relative entropy selection and incremental feature selection approach to select the optimal feature subsets. Thirdly ... both informative features and an elaborate feature selection scheme, our method, PSNO, achieves good prediction...
  • Pict

  • Referenced in 71 articles [sw08929]
  • programming, selective communication, and concurrent objects. The type system integrates a number of features found...
  • StochKit2

  • Referenced in 10 articles [sw14081]
  • leaping with automatic step size selection. StochKit2 features include automatic selection of the optimal...
  • SLEX

  • Referenced in 18 articles [sw08605]
  • step in our procedure, which is the feature extraction step based on work by Saito ... computed using the SLEX basis selected in the feature extraction step. We show that...
  • SFO

  • Referenced in 8 articles [sw08759]
  • learning and AI problems such as feature selection, clustering, inference and optimized information gathering...
  • TFSAP

  • Referenced in 14 articles [sw29902]
  • change detection and (3) select the most relevant features using different techniques (Boashash and Ouelha...
  • iFeature

  • Referenced in 6 articles [sw27776]
  • package and web server for features extraction and selection from protein and peptide sequences. iFeature ... Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences ... frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms...
  • RSPOP

  • Referenced in 7 articles [sw02562]
  • proposed algorithm not only performs feature selection through the reduction of attributes but also extends...
  • claspfolio 2

  • Referenced in 6 articles [sw11706]
  • solver framework supports various feature generators, solver selection approaches, solver portfolios, as well as solver ... clasp to generate static and dynamic instance features. The flexible open design of claspfolio ... comparing and combining existing portfolio-based algorithm selection approaches and techniques in a single, unified ... assess the impact of different feature sets, selection approaches and base solver portfolios. In addition...
  • FST

  • Referenced in 4 articles [sw25371]
  • Feature selection toolbox. A software package developed for the purpose of feature selection in statistical...
  • MALSAR

  • Referenced in 5 articles [sw14319]
  • Learning; Multi-Task Learning with Joint Feature Selection; Robust Multi-Task Feature Learning; Trace-Norm...
  • iPPBS-Opt

  • Referenced in 16 articles [sw22428]
  • ensemble voting approach to select the most relevant features; and (3) the stationary wavelet transform...
  • featsel

  • Referenced in 3 articles [sw30677]
  • featsel: A framework for benchmarking of feature selection algorithms and cost functions. In this paper ... featsel, a framework for benchmarking of feature selection algorithms and cost functions. This framework allows ... outperforms the popular Weka workbench in feature selection procedures on data sets from...
  • GSPPCA

  • Referenced in 4 articles [sw25977]
  • simple, yet powerful ways of selecting relevant features of high-dimensional data in an unsupervised ... components are computed, the interpretation of the selected variables may be difficult since each axis ... path, relying on Occam’s razor to select the relevant variables. Since the sparsity pattern ... sets and on several real unsupervised feature selection problems coming from signal processing and genomics...
  • iEzy-drug

  • Referenced in 15 articles [sw22455]
  • cellular networking. With the features of extremely high selectivity and efficiency in catalyzing almost ... formulated by a molecular fingerprint with 258 feature components, each enzyme by the Chou...
  • tsfresh

  • Referenced in 5 articles [sw28448]
  • time series features, with feature selection on basis automatically configured hypothesis tests. By identifying statistically ... fosters the development of domain specific features early on. The package implements standard APIs...