Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

13 results

Filter
Classification Algorithms
Weka (3.6)
Bayes
Analytics Integrations Weka
  1. Go to item
    Node / Learner
    BayesNet (3.6)
    Analytics Integrations Weka
    +3
    Bayes Network learning using various search algorithms and quality measures. Base class for a Bayes Network classifier. Provides …
    0
    knime
  2. Go to item
    Node / Learner
    ComplementNaiveBayes (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a Complement class Naive Bayes classifier. For more information see, Jason D. Rennie, Lawrence Shih,…
    0
    knime
  3. Go to item
    Node / Learner
    DMNBtext (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see, Jiang Su,Harry Zhang,…
    0
    knime
  4. Go to item
    Node / Learner
    HNB (3.6)
    Analytics Integrations Weka
    +3
    Contructs Hidden Naive Bayes classification model with high classification accuracy and AUC. For more information refer to: H. Zh…
    0
    knime
  5. Go to item
    Node / Learner
    NaiveBayes (3.6)
    Analytics Integrations Weka
    +3
    Class for a Naive Bayes classifier using estimator classes. Numeric estimator precision values are chosen based on analysis of th…
    0
    knime
  6. Go to item
    Node / Learner
    NaiveBayesMultinomial (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…
    0
    knime
  7. Go to item
    Node / Learner
    AODE (3.6)
    Analytics Integrations Weka
    +3
    AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…
    0
    knime
  8. Go to item
    Node / Learner
    AODEsr (3.6)
    Analytics Integrations Weka
    +3
    AODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification ti…
    0
    knime
  9. Go to item
    Node / Learner
    BayesianLogisticRegression (3.6)
    Analytics Integrations Weka
    +3
    Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D…
    0
    knime
  10. Go to item
    Node / Learner
    NaiveBayesMultinomialUpdateable (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a multinomial Naive Bayes classifier. For more information see, Andrew Mccallum, Kamal Nigam: A Comp…
    0
    knime
  11. Go to item
    Node / Learner
    NaiveBayesSimple (3.6)
    Analytics Integrations Weka
    +3
    Class for building and using a simple Naive Bayes classifier.Numeric attributes are modelled by a normal distribution. For more i…
    0
    knime
  12. Go to item
    Node / Learner
    NaiveBayesUpdateable (3.6)
    Analytics Integrations Weka
    +3
    Class for a Naive Bayes classifier using estimator classes. This is the updateable version of NaiveBayes. This classifier will us…
    0
    knime
  13. Go to item
    Node / Learner
    WAODE (3.6)
    Analytics Integrations Weka
    +3
    WAODE contructs the model called Weightily Averaged One-Dependence Estimators. For more information, see L. Jiang, H. Zhang: Weig…
    0
    knime

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits