• MINTO

  • Referenced in 135 articles [sw04587]
  • programming relaxations. It also provides automatic constraint classification, preprocessing, primal heuristics and constraint generation. Moreover ... variety of specialized application routines that can customize MINTO to achieve maximum efficiency...
  • STATISTICA

  • Referenced in 37 articles [sw00913]
  • widest selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform. STATISTICA ... delivering successful business results for our customers, a global user base of more than...
  • EMP

  • Referenced in 2 articles [sw16346]
  • package EMP: Expected Maximum Profit Classification Performance Measure. Functions for estimating EMP (Expected Maximum Profit ... Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken...
  • smbinning

  • Referenced in 3 articles [sw33579]
  • tasks. The package also incorporates monotonic and customized binning, scaling capabilities that transforms logistic coefficients ... visualizes classic performance metrics of a classification model...
  • PFRES

  • Referenced in 6 articles [sw26875]
  • proposed PFRES method for automated protein fold classification from low identity (<35%) sequences obtains ... based classifier, and a novel, compact and custom-designed feature representation that includes nearly...
  • mbonsai

  • Referenced in 1 article [sw25764]
  • classification of long chains of sequences is required. For example, brand purchase history in customer ... handling sequence data and indexing for classification purpose. The software uses a simple command line...
  • JKernelmachines

  • Referenced in 2 articles [sw10890]
  • primarily designed to deal with custom kernels that are not easily found in standard libraries ... kernels leading to state of the art classification performances in computer vision, as well...
  • NiaAML

  • Referenced in 1 article [sw38665]
  • best set of components for the classification pipeline on the output and optimize their parameters ... NiaAML framework is easy to use and customize or expand to suit your needs...
  • Predict

  • Referenced in 4 articles [sw13569]
  • feed-forward neural networks for prediction and classification problems, and Kohonen Self-Organizing Maps ... used to create an enterprise application with customized data and user interfaces for a production...
  • ML-flex

  • Referenced in 1 article [sw10521]
  • perform two-class and multi-class classification analyses in a systematic yet flexible manner ... data formats and supports a variety of customizations. ML-Flex provides implementations of various validation...
  • TextBrewer

  • Referenced in 1 article [sw42077]
  • supervised learning tasks, such as text classification, reading comprehension, sequence labeling. TextBrewer provides a simple ... distillation methods and can be extended with custom code. As a case study...
  • NeuroShell 2

  • Referenced in 1 article [sw33532]
  • NeuroShell 2 enables you to build sophisticated custom problem solving applications without programming. You tell ... able to make its own classifications, predictions, or decisions when presented with new data. Both...
  • SCPRED

  • Referenced in 6 articles [sw26876]
  • support vector machine classifier that takes several custom-designed features as its input to predict ... filter to improve performance of modern fold classification methods...
  • TOOLDIAG

  • Referenced in 1 article [sw22812]
  • recognition. The main area of application is classification. The application area is limited to multidimensional ... efficient and fast. You can customize your own methods on the application programming level with...
  • volumina

  • Referenced in 1 article [sw08797]
  • Learning-based segmentation for connectomics. ... Custom software tools that can cope with the large data ... component, volumina. ilastik provides an interactive pixel classification work ow on largerthan-RAM datasets...
  • CropScape

  • Referenced in 2 articles [sw33769]
  • contains crop and other specific land cover classifications obtained using remote sensing for the conterminous ... efficiently meet the growing needs of our customers, CropScape (the name invented...
  • survHD

  • Referenced in 1 article [sw25071]
  • evaluation of models are distinct from classification problems. Our R-package survHD provides a framework ... built-in interface for including user-defined custom survival model functions into the survHD framework...
  • FLO

  • Referenced in 2 articles [sw12272]
  • identified through colors and a classification scheme for location problems. Detailed information about the output ... location list can be imported into FLO. Customization of the interface and the ability...
  • MDCGen

  • Referenced in 1 article [sw32196]
  • datasets for testing, evaluating, and benchmarking unsupervised classification algorithms. Our proposal fills a gap observed ... MDCGen also implements classic pursued features: (a) customization of cluster-separation, (b) overlap control...