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The Gregorc Style Delineator is a self-scoring written instrument that elicits responses to a set of 40 specific words. [3] Scoring the responses will give values for a model with two axes: a "perceptual space duality," concrete vs. abstract, and an "ordering duality," sequential vs. random [4] The resulting quadrants are the "styles":
A step-wise schematic illustrating a generic Michigan-style learning classifier system learning cycle performing supervised learning. Keeping in mind that LCS is a paradigm for genetic-based machine learning rather than a specific method, the following outlines key elements of a generic, modern (i.e. post-XCS) LCS algorithm.
Deterministic algorithms are by far the most studied and familiar kind of algorithm, as well as one of the most practical, since they can be run on real machines efficiently. Formally, a deterministic algorithm computes a mathematical function ; a function has a unique value for any input in its domain , and the algorithm is a process that ...
Learning styles refer to a range of theories that aim to account for differences in individuals' learning. [1] Although there is ample evidence that individuals express personal preferences on how they prefer to receive information, [2]: 108 few studies have found validity in using learning styles in education.
The Sapir-Whorf hypothesis branches out into two theories: linguistic determinism and linguistic relativity. Linguistic determinism is viewed as the stronger form – because language is viewed as a complete barrier, a person is stuck with the perspective that the language enforces – while linguistic relativity is perceived as a weaker form of the theory because language is discussed as a ...
The bus engine replacement model developed in the seminal paper Rust (1987) is one of the first dynamic stochastic models of discrete choice estimated using real data, and continues to serve as classical example of the problems of this type.
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.