15 results
- Go to itemThis workflow defines a fully automated web based application that will label your data using active learning and weak supervisio…6
- Go to itemUpdated workflow with 4.1 nodes available. Check references below. This old legacy workflow defines a fully automated web based a…2
- Go to itemThis workflow defines a fully automated web based application that will label your data using active learning. The workflow was d…1
- Go to itemThis workflow defines a fully automated web based application that will label your data using active learning. The workflow was d…1
- Go to itemThis workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…1
- Go to itemThis workflows shows examples of Active Learning with the Exploration vs Exploitation strategy taken from Cebron et al, 2008, cal…0
- Go to itemThis workflows shows examples of Active Learning with Uncertainty Sampling. Uncertainty sampling uses the model that is re-traine…0
- Go to itemThis workflows shows examples of Active Learning with the Exploration vs Exploitation strategy taken from Cebron et al, 2008, cal…0
- Go to itemThis workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…0
- Go to itemThis workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…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