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- Precedence Graph Description: A precedence graph is a directed graph that represents the order of tasks in a scheduling problem. In this type of graph, nodes(...) Read more
- Path Algorithm Description: A pathfinding algorithm is an algorithm designed to find the shortest path between two vertices in a graph. These algorithms are(...) Read more
- Pathfinding Algorithm Description: A pathfinding algorithm is an algorithm that finds the best path between two points in a graph. These algorithms are fundamental in(...) Read more
- Parallel Graph Description: A parallel graph is a type of graph characterized by containing multiple edges connecting the same pair of vertices. This means(...) Read more
- Path Reduction Description: Path reduction is a technique used in graph theory to simplify the representation of a graph by removing unnecessary edges. This(...) Read more
- Probabilistic Path Description: A probabilistic path is a concept in graph theory that refers to a traversal through a graph where each edge (or connection between(...) Read more
- Path Dependency Description: Path dependence refers to the concept that the outcome of a process is influenced by the path taken to reach that outcome. In the(...) Read more
- Pivotal Description: The term 'pivot' refers to a central or crucial point in a process or system, acting as an axis around which a change or(...) Read more
- Probabilistic Graphical Models Description: Probabilistic Graphical Models are a mathematical framework that allows for the representation of conditional dependencies between(...) Read more
- Probabilistic inference Description: Probabilistic inference is a statistical approach that allows conclusions to be drawn from data that is uncertain or random. This(...) Read more
- Probabilistic programming Description: Probabilistic programming is a paradigm that focuses on the representation and manipulation of uncertainty through probabilistic(...) Read more
- Probabilistic reasoning Description: Probabilistic reasoning is an approach that allows artificial intelligence systems and large language models to make decisions and(...) Read more
- Perturbation Description: Perturbation is a technique used to modify data in a way that protects privacy while maintaining utility. This approach is based on(...) Read more
- Partial Anonymization Description: Partial anonymization is a data protection method that involves the removal or alteration of some personal identifiers in a(...) Read more
- Personal Data Minimization Description: Data minimization is a fundamental principle in privacy protection that states that data collection should be limited to what is(...) Read more
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