Predicting Change in Emotion through Ordinal Patterns and Simple Symbolic Expressions

Ordinal and Symbolic Data

Cooperation and Interaction between Human and Humanoid Robots through Integration of Symbolic Expressions and Sensorimotor Patterns

This paper describes a stochastic framework for intelligent humanoid robots, which can cooperate and interact with humans through integration of symbolic expressions and sensorimotor patterns. The research is divided into 4 steps. Contributions of the each research step are: 1) an estimation method of sensorimotor patterns of others without having predefined user specific model in advance throu...

Ordinal and symbolic data analysis

Predicting Ordinal Classes in ILP

This paper is devoted to the problem of learning to predict ordinal (i.e., ordered discrete) classes in an ILP setting. We start with a relational regression algorithm named SRT (Structural Regression Trees) and study various ways of transforming it into a rst-order learner for ordinal classiication tasks. Combinations of these algorithm variants with several data preprocessing methods are comp...

Predicting loneliness based on emotional expressions and emotional ambivalence

Feelings of loneliness, excitement, and emotional ambiguity is one of the most common psychopathological complaints, which can have serious consequences for mental health. The aim of this study was to predict the feeling of loneliness based on the expression of emotion and emotional ambiguity. The method of the present study was a correlation. The statistical population of the present study inc...