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Jupyter Notebooks can execute cells of Python code, retaining the context between the execution of cells, which usually facilitates interactive data exploration. [5] Elixir is a high-level functional programming language based on the Erlang VM. Its machine-learning ecosystem includes Nx for computing on CPUs and GPUs, Bumblebee and Axon for ...
Question-answer pairs Question Answering 2020 [334] Nguyen et al. Vietnamese Multiple-Choice Machine Reading Comprehension Corpus(ViMMRC) A collection of Vietnamese multiple-choice questions for evaluating MRC models. This corpus includes 2,783 Vietnamese multiple-choice questions. 2,783 Question-answer pairs
PCFGs models extend context-free grammars the same way as hidden Markov models extend regular grammars.. The Inside-Outside algorithm is an analogue of the Forward-Backward algorithm.
Processes related to functional decomposition are prevalent throughout the fields of knowledge representation and machine learning.Hierarchical model induction techniques such as Logic circuit minimization, decision trees, grammatical inference, hierarchical clustering, and quadtree decomposition are all examples of function decomposition.
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
6-3-5 Brainwriting is a particular form of brainstorming through the medium of graphics; [3] in particular, it is classified under the intuitive and progressive methodologies as it involves driving inspiration from other members in a cyclical way. [4]
(In Python, Ruby, PARI/GP and other popular languages, A & B == C is interpreted as (A & B) == C.) Source-to-source compilers that compile to multiple languages need to explicitly deal with the issue of different order of operations across languages.
Sorting a set of unlabelled weights by weight using only a balance scale requires a comparison sort algorithm. A comparison sort is a type of sorting algorithm that only reads the list elements through a single abstract comparison operation (often a "less than or equal to" operator or a three-way comparison) that determines which of two elements should occur first in the final sorted list.