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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 the convolution operation or convolutional layer (in the case of convolutional neural networks).
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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 notation (in general).
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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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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 computational learning theory (or, in short, learning theory), which is a research subfield of artificial intelligence devoted to studying the design and mathematical analysis…
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For questions about how quantum computing can advance the development of AI. Note that general questions about quantum computing are off-topic.
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For questions related to the time complexity (e.g. in Big-O notation) of AI and ML algorithms.
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For questions about meaning. Distinct from syntactics.
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For questions about sentiment analysis in AI.
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For questions related to the concept of dropout, which refers to the dropping out units in a neural network (NN), during the training of the NN, so that to avoid overfitting. The dropout method is a r…
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For questions related to the hyper-parameters of AI models and algorithms, which are parameters that are set before the learning process begins. For example, the number of hidden layers in a feed-forw…
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For questions related to Artificial Intelligence as a profession. Type of roles (programmer, researcher, etc.) and associated fields of knowledge and skill sets.
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For questions about Support Vector Machines/Networks.
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Use for questions about self awareness in general, not restricted to engineered artifacts (AI's). Can be synonymous with "Artificial Consciousness" but has a broader scope. "Self Awareness" should b…
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For questions related to the value iteration algorithm, which is a dynamic programming (DP) algorithm used to solve an MDP, that is, it is used to find a policy given the transition and reward functio…
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For questions concerning neural network rectifiers (ReLU)
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For questions related to model-based reinforcement learning algorithms.
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For questions related to the concept of feature extraction, which is a set of techniques used to derive or create features from the existing set of features. Feature extraction is different from featu…
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For questions related to the concept of "planning" in AI.
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For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.
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For questions about constraint satisfaction problems.
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For questions related to the reinforcement learning algorithm called Deep Deterministic Policy Gradient (DDPG).
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For questions related to incremental learning algorithms, which are algorithms that attempt to learn new information without forgetting all the previously learned one. Incremental learning is often a …
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For questions related to online learning algorithms, that is, algorithms that learn while e.g. the associated agent interacts with an environment.
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For questions regarding AI risk management; including the mitigation of long term risk such as directing technology advancement with safety in mind; and the mitigation of immediate risk such as collis…
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the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are conn…
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For questions involving the Alpha-Beta pruning algorithm.
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For questions about application of regularization techniques.
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For questions about algorithms/methods used in AI/ML which is inspired by human behavior/brain.
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For questions about efficiency of ML/AI algorithms solving a particular problem.
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Refers to kinds of data with a high level of organization.
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For questions related to expert systems, which are computer systems that emulate the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning throu…