John Nash
(7 articles)
Graph Theory
Field of mathematics and computer science focusing on the properties of graphs, which are structures made up of vertices (or nodes) connected by edges.
Generality: 828
Tensor
Multi-dimensional array used in mathematics and computer science, serving as a fundamental data structure in neural networks for representing data and parameters.
Generality: 920
Objective Function
Objective function used in ML which quantitatively defines the goal of an optimization problem by measuring the performance of a model or solution.
Generality: 858
Computational Complexity Theory
A branch of theoretical computer science that focuses on classifying computational problems based on their inherent difficulty and the resources required to solve them.
Generality: 500
Minimax
A decision-making strategy in game theory and AI that aims to minimize the possible losses in worst-case scenarios by maximizing the worst-case outcome.
Generality: 775
Matrix Models
Mathematical frameworks that use matrices with parameters to represent and solve complex problems, often in ML, statistics, and systems theory.
Generality: 728
Cooperativity
How multiple agents or components work together in a system to achieve better performance or solutions than they could individually.
Generality: 800