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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created 22 hours ago
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created Dec 12 at 9:13
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created Dec 1 at 2:34
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created Nov 28 at 20:26
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For questions related to the neural Turing machine model, proposed in "Neural Turing Machines" (2014) by Alex Graves et al.
created Nov 26 at 16:17
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For questions related to Bayesian statistics in the context of artificial intelligence. Bayesian statistics is a system for describing uncertainty using the mathematical language of probability. Bayes…
created Nov 23 at 17:27
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For questions related to the concept of novelty search (NS), where individuals in an evolving population (of an evolutionary algorithm) are selected based on how different they are compared to all of …
created Nov 22 at 0:33
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For questions related to ensemble learning, which refers to machine learning techniques where multiple models (e.g. a neural network and a decision tree) are trained and their predictions are combined…
created Nov 21 at 22:22
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For questions related to the depth-first search algorithm, in the context of artificial intelligence.
created Nov 21 at 16:41
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created Nov 21 at 3:44
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For questions related to the C4.5 algorithm, which is a decision tree learning developed by Ross Quinlan in 1993. The C4.5 algorithm is the successor of the ID3 algorithm, which was developed in 1986 …
created Nov 21 at 3:05
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created Nov 19 at 19:45
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For questions related to the ID3 (Iterative Dichotomiser 3) algorithm, which is a decision tree algorithm, so it can be used to learn a decision tree from a dataset. The ID3 algorithm was also develop…
created Nov 19 at 15:58
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For questions related to the wake-sleep algorithm, which can be used in the context of unsupervised learning for neural networks.
created Nov 18 at 18:49
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For questions related to Bayesian optimization (BO), which is a technique used to model an unknown function (that is expensive to evaluate), based on concepts of a surrogate model (which is usually a …
created Nov 16 at 14:55
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For questions related to the concept of boosting in machine learning, which is a collection of ensemble learning methods.
created Nov 14 at 14:24
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created Nov 14 at 14:03
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created Nov 14 at 14:03
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created Nov 12 at 15:06
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For questions related to the tree search. As opposed to the graph search, a tree search does not use a closed list to keep track of the already visited nodes, so a tree search may visit the same nodes…
created Nov 10 at 17:28
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For questions related to the family of algorithms often denoted as best-first search algorithms. A* is an example of a best-first search algorithm.
created Nov 10 at 17:23
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For questions related to the graph search. As opposed to a tree search, a graph search uses a list or set, called the closed list (or explored set), which contains the already visited and expanded nod…
created Nov 10 at 17:19
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For questions related to the uniform-cost search (UCS) algorithm, also known as the cheapest-first search, which is the uninformative version of the A* algorithm.
created Nov 10 at 17:00
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For questions related to speech recognition, also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT), which is a sub-field of computational linguistics th…
created Nov 10 at 15:34
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For questions related to the concept of cross-entropy in the context of artificial intelligence. For example, when the cross-entropy is used as a loss function to train a neural network.
created Nov 10 at 1:52
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For questions related to automated machine learning (AutoML), which refers to a collection of techniques to automate the design and the application of machine learning algorithms and models.
created Nov 10 at 0:45
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For questions related to admissible heuristics, which are heuristics that never overestimate the cost of reaching a goal.
created Nov 9 at 13:58
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For questions related to consistent heuristics, which are heuristics whose estimate is always less than or equal to the estimated distance from any neighboring vertex to the goal, plus the cost of rea…
created Nov 9 at 13:58
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created Nov 9 at 0:42
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For questions related to BLEU (BiLingual Evaluation Understudy), which is a metric for evaluating the quality of text which has been machine-translated from one natural language to another. The metric…
created Nov 8 at 14:10
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For question about Multi Layer Perceptron model/architecture, its training and other related details and parameters associated with the model.
created Nov 7 at 3:10
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For questions related to feedforward neural networks (FFNNs), which are also sometimes called multilayer perceptrons, but these two expressions may not always be interchangeable.
created Nov 7 at 3:06
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For questions related to human-computer, human-robot or human-AI interaction, in the context of AI.
created Nov 6 at 23:21
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For questions about AI milestone, both those achieved and those predicted.
created Nov 6 at 0:23
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For questions related to the Vapnik–Chervonenkis (VC) dimension, originally defined by Vladimir Vapnik and Alexey Chervonenkis, which is a measure of the capacity (complexity, expressive power, richne…
created Nov 4 at 13:04
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For questions related to the Vapnik–Chervonenkis theory (also known as VC theory), which a form of computational learning theory, so it attempts to explain the learning process from a statistical poin…
created Nov 4 at 13:04