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.
For questions related to the convolution operation or convolutional layer (in the case of convolutional neural networks).
For questions related to the family of algorithms called "hill climbing" (in the context of AI).
For questions related to the "experience replay" buffer (as used in the Deep Q Network and similar works).
An interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.
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…
For questions about how quantum computing can advance the development of AI. Note that general questions about quantum computing are off-topic.
For questions related to the time complexity (e.g. in Big-O notation) of AI and ML algorithms.
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…
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…
For questions related to Artificial Intelligence as a profession. Type of roles (programmer, researcher, etc.) and associated fields of knowledge and skill sets.
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…
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…
For questions related to model-based reinforcement learning algorithms.
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…
For questions related to the concept of "planning" in AI.
For questions related to the concept of data pre-processing, which includes, for example, cleaning, instance selection, normalization, transformation, feature extraction or selection.
For questions about constraint satisfaction problems.
For questions related to the reinforcement learning algorithm called Deep Deterministic Policy Gradient (DDPG).
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 …
For questions related to online learning algorithms, that is, algorithms that learn while e.g. the associated agent interacts with an environment.
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…
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…
For questions about algorithms/methods used in AI/ML which is inspired by human behavior/brain.
For questions about efficiency of ML/AI algorithms solving a particular problem.