**20**
results

- Go to itemMachine Learning Meta Collection (with KNIME) This meta collection is about machine learning. It contains links to some examples …2
- Go to itemThis node contains the default Prototype Based Active Classification (PBAC) implementation in a single node For more information …0
- Go to itemCalculates a combined uncertainty score given two numeric columns, one containing the exploitation and the other containing the e…0
- Go to itemCalculates a combined exploration / exploitation score. see paper by Cebron: http://www.inf.uni-konstanz.de/bioml2/publications/P…0
- Go to itemCalculates density scores for the input table given a density model. Note that the model can only be applied to the data it was i…0
- Go to itemUpdates a density model. Note that the model can only be updated with the data it was initialized with in the corresponding initi…0
- Go to itemCreates a density model of a n-dimensional vector space, based on a kNN graph. The kNN graph is created by connecting each row wi…0
- Go to itemCalculates/Updates the density of a n-dimensional vector space, based on a kNN graph. For details see the RALF Paper: https://www…0
- Go to itemCreates a potential based density model of a n-dimensional vector space. In order to calculate the density at a specific row in t…0
- Go to itemCalculates/Updates the density based exploration potential of a n-dimensional vector space. See Paper by Cebron et. al: http://ww…0
- Go to itemCalculates a Kernel Null Foley-Sammon Transformation that can be used to calculate a novelty score for a test sample in relation …0
- Go to itemScores the novelty of test instances based on a KNFST-model from a KNFST Learner node. The corresponding source code is a Java ad…0
- Go to itemThis node calculates a local KNFST-model based on the nearest neighbors in the kernel space for every single data point that is t…0
- Go to itemCalculates the entropy uncertainty score of a class probability distribution. Input are rows containing class probabilities P = p…0
- Go to itemCalculates the least confident uncertainty score of a class probability distribution. Input are rows containing class probabiliti…0
- Go to itemCalculates the margin uncertainty score of a class probability distribution. Input are rows containing class probabilities that m…0
- Go to itemCalculates the variance uncertainty score of a class probability distribution. Input are rows containing class probabilities that…0
- Go to itemUsing the Iris flower dataset, a Linear Regression is trained to predictpetal width. The prediction error is calculated and shown…0