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Check format details in the project's worksheet. Dialog/Instruction prompted 2020 [340] Michihiro et al. Natural Instructions v2 Large dataset that covers a wider range of reasoning abilities Each task consists of input/output, and a task definition. Additionally, each ask contains a task definition.
The Stanford Research Institute Problem Solver, known by its acronym STRIPS, is an automated planner developed by Richard Fikes and Nils Nilsson in 1971 at SRI International. [1] The same name was later used to refer to the formal language of the inputs to this planner.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
A gateway to results of DOE research and development and major R&D accomplishments of interest to DOE. Not working from 2014 Free DOE: Sparrho: Multidisciplinary: Research articles and patents from 45k+ journals and preprint servers. Uses content recommendation concept. Subscription Distylled Ltd.
Reference Organizer [1] – is a tool that presents all references in graphical user interface, where you can choose whether the references should be defined in the body of article or in the reference list template(s) (list-defined format). The choice can be applied to all references, to all references with a certain number of uses (citations ...
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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 ...
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