5 papers
Accuracy Convergent Field Predictors
Cristian Alb
Several predictive algorithms are described. Highlighted are variants that make predictions by superposing fields associated to the training data instances. They operate seamlessly…
Interfering Paths in Decision Trees: A Note on Deodata Predictors
Cristian Alb
A technique for improving the prediction accuracy of decision trees is proposed. It consists in evaluating the tree's branches in parallel over multiple paths. The technique enable…
Backtrack Tie-Breaking for Decision Trees: A Note on Deodata Predictors
Cristian Alb
A tie-breaking method is proposed for choosing the predicted class, or outcome, in a decision tree. The method is an adaptation of a similar technique used for deodata predictors.
Probabilistic Alternatives to the Gower Distance: A Note on Deodata Predictors
Cristian Alb
A probabilistic alternative to the Gower distance is proposed. The probabilistic distance enables the realization of a generic deodata predictor.
Collapsing the Decision Tree: the Concurrent Data Predictor
Cristian Alb
A family of concurrent data predictors is derived from the decision tree classifier by removing the limitation of sequentially evaluating attributes. By evaluating attributes concu…