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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 machine translation (MT), which is the task of translating text using a computer, machine or software.
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For questions related to the concept of feature selection (also known as variable selection or attribute selection), which is the process of selecting a subset of relevant features (a.k.a. variables o…
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For questions related to Google in the context of AI (e.g. related to Google Translate). Google is an American multinational technology company specializing in internet-related services and products.
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Use for objective evaluations and assessments of computing devices and components, including CPUs, GPUs, etc., based on architecture and performance statistics. Opinions may be suitable for comm…
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For questions about the application of AI/ML algorithms in the field of OCR.
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For questions related to (automatic) text summarization, which is the task of producing a concise and fluent summary of a text or document while preserving key information content and the overall me…
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Use for question about the emergent "mythology of AI", from Talos in Greek mythology, to Skynet and the technological singularity.
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For questions related to Thomas Bayes, his work and extension of his work, theory and applications.
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For questions related to the reinforcement learning algorithm called proximal policy optimization (PPO), which was introduced in the paper "Proximal Policy Optimization Algorithms" (2017) by John Schu…
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For questions related to time series analysis or forecasting in the context of AI and, in particular, ML.
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For questions related to the concept of hyper-parameter optimization, that is, the task of finding the best hyper-parameters for a particular learning algorithm (e.g. gradient descent) or model (e.g. …
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For questions related to transfer learning, a machine learning method that focuses on storing knowledge gained while solving one problem in order to apply this knowledge to a different but related pro…
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For questions related to the family of algorithms called "hill climbing" (in the context of AI).
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For questions related to the temporal-difference reinforcement learning (RL) algorithms, which is a class of model-free (that is, they do not use the transition and reward function of the MDP) RL algo…
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For questions related to the concept of environment in reinforcement learning and other AI sub-fields.
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For questions related to the "experience replay" buffer (as used in the Deep Q Network and similar works).
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Use for questions related to use of electronic circuits to mimic neuro-biological architectures present in the nervous system or in neural networks. ("Neuromorphic computing" is sometimes used synonom…
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For questions related to attention based AI approaches, including gating at the network cell level, selection of models within a model container, virtual pan and zoom within an image field, selection …
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For questions related to DeepMind's AlphaGo, which is the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19x19 board. AlphaGo was introduced in the …
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For questions about implementation of Machine Learning and Artificial Intelligence algorithms in the Java programming language.
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For questions regarding various parameters/methods of implementation/improvement/analysing the safety of an Artificially Intelligent algorithm.
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For questions related to IBM Watson.
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For questions about the use of Markov models in the field of AI/ML.
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For questions about the legal aspects and ramifications due to the creation/use of AI in various fields and applications (also laws in place to regulate the proper use of AI technology).
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An interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.
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For questions related to AlphaGo Zero, which is a version of DeepMind's Go software, AlphaGo, that does not use data from human games and it is stronger than AlphaGo. There is a generalized version of…
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For questions related to recommender systems in the context of machine learning and data mining.
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For questions related to features in the context of machine learning and, in general, AI.
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For questions related to image segmentation (in computer vision and related AI fields).
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For questions related to the convolution operation or convolutional layer (in the case of convolutional neural networks).
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For questions related to model-based reinforcement learning algorithms.
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For questions related to the A* (or A) search algorithm.