**387**
results

- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemA2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemA2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemClass for generating an alternating decision tree. The basic algorithm is based on: Freund, Y., Mason, L.: The alternating decisi…0
- Go to itemClass for generating an alternating decision tree. For further options, click the 'More' - button in the dialog. All weka dialogs…0
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that h…0
- Go to itemAODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models. For f…0
- Go to itemAODEsr augments AODE with Subsumption Resolution.AODEsr detects specializations between two attribute values at classification ti…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method. Only nominal class problems can be tackled. Often dra…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method Only nominal class problems can be tackled.Often drama…0
- Go to itemClass for boosting a nominal class classifier using the Adaboost M1 method. For further options, click the 'More' - button in the…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier. Each iteration fits a model to the residuals left …0
- Go to itemMeta classifier that enhances the performance of a regression base classifier Each iteration fits a model to the residuals left b…0
- Go to itemMeta classifier that enhances the performance of a regression base classifier. For further options, click the 'More' - button in …0
- Go to itemClass implementing an Apriori-type algorithm. Iteratively reduces the minimum support until it finds the required number of rules…0
- Go to itemClass implementing an Apriori-type algorithm Iteratively reduces the minimum support until it finds the required number of rules …0
- Go to itemClass implementing an Apriori-type algorithm. For further options, click the 'More' - button in the dialog. All weka dialogs have…0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. (based on WEKA…0
- Go to itemDimensionality of training and test data is reduced by attribute selection before being passed on to a classifier (based on WEKA …0