Studying a decision in archerfish reveals an impressive potential of learning capacities and cognitive aspects that are unexpected for decisions made at reflex speed.

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Predicting an individual’s behaviour in one task based on their behaviour in a different task is a key challenge in modeling individual decision-making tendencies. We ...

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, ... Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, ...