Tags

A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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For questions related to the Caffe deep learning library.
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For questions related to the concept of testing or evaluating machine learning models and algorithms.
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For questions related to the minimum description length (MDL) principle, which is a formalization of Occam's razor in which the best hypothesis (a model and its parameters) for a given set of data is …
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For questions about Real-time Strategy games, often used in AI research.
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For questions about the "AI business", the industry of AI, and related subjects.
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For questions involving economics and economic decision-making.
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a project that aims to build an open source artificial intelligence framework.
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For questions related to the "action model learning", which is an area of machine learning concerned with creation and modification of software agent's knowledge about effects and preconditions of the…
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For questions related to the iterative deepening A* search algorithm.
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For questions related to the "expectation-maximisation" (EM) algorithm (which is used in several contexts in AI).
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For questions about the mathematical notion of satisfiability.
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For questions related to the concept of "optimal policy" in reinforcement learning.
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Refers to the "knapsack" or "rucksack" problem in combinatorial optimization.
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For questions related to the acquisition of rules that describe conditions and consequences related to actions, objects, or complex behaviors with or without certainty metrics. This may be from constr…
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For questions related to the use of AI for the control of the quality of software development, a design process, a manufacturing process, a physical process, or another product, service, system, or pr…
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For questions about "cybernetic organisms" defined as an entity with both organic and biomechatronic body parts. For questions about physical integration of animal and machine, theoretical and actua…
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a programming paradigm where the focus is on what must be accomplished, rather than how it is to be accomplished. Hence it is more about "declaring" than about implementing …
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For questions related to fully connected layers (which are often used as the last layers of a convolutional neural network).
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