Glossary

Statistical Representation Learning is a sophisticated machine learning process used for automatic discovery of relevant representations for effective data classification or feature detection.

Statistical Classification is a machine learning approach used to predict the likelihood of an individual data set belonging to a certain category.

Stephen Cole Kleene is renowned for his exemplary work in algorithms and recursive functions, two key areas in the field of mathematics and logic.

Discover Stanford Research Institute Planning System (STRIPS), a pivotal programming language and algorithm, designed for advanced automated artificial intelligence planning. Crafted by Richard Fikes and Nils Nilsson, this revolutionary system, developed at Stanford, marks an important milestone in the AI vista from 1969 till date.

The term ‘A State in AI’ refers to the current condition or scenario of an artificial intelligence system, utilized to guide its decision-making process.

A Spiking Neural Network (SNN) is an artificial neural network that mimics biological neuron activity. It processes information via generation and transmission of spike signals or electrical impulses.