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 ExpectiMinimax algorithm (or tree), which is a variation of the minimax algorithm (or tree). In addition to "min" and "max" nodes of the traditional minimax tree, this var…
created 7 hours ago
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For questions related to residual networks (ResNets), introduced in "Deep Residual Learning for Image Recognition" (2015) by Kaiming He et al. and that won the first place at "Large Scale Visual Recog…
created yesterday
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For questions related to CAPTCHA, an acronym for "Completely Automated Public Turing test to tell Computers and Humans Apart", which is a type of challenge-response test used in computing to determine…
created 2 days ago
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For questions related to the concept of learning rate (of an optimization algorithm, such as gradient descent) in machine learning.
created Oct 12 at 16:04
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created Oct 11 at 2:11
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created Oct 10 at 10:37
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created Oct 10 at 10:37
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created Oct 10 at 10:37
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For questions related to variational auto-encoders (VAEs). The first VAE was proposed in "Auto-Encoding Variational Bayes" (2013) by Diederik P. Kingma and Max Welling. There are several other VAEs, f…
created Oct 10 at 2:24
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For questions related to adversarial machine learning, which is a branch of machine learning focused on the study of adversarial examples, which are malicious inputs designed to fool machine learning …
created Oct 9 at 21:31
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created Oct 9 at 6:53
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created Oct 9 at 6:53
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created Sep 29 at 21:41
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For questions related to the various No Free Lunch (NFL) theorems (both in the context of machine learning and optimization).
created Sep 27 at 16:36
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created Sep 27 at 0:25
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created Sep 23 at 12:20
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created Sep 20 at 12:23
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For questions relating to predictions of future technology specifically related to AI and modeling human cognition. (Includes subjects such as the hypothetical Singularity.)
created Sep 17 at 21:34
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For questions related to Probably Approximately Correct (PAC) learning, a framework for mathematical analysis of machine learning algorithms, which was introduced in the paper "A Theory of the Learnab…
created Sep 17 at 10:19
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created Sep 15 at 20:58
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The application of elements of game play to address real-world problems. For questions on utilizing this process in the field of AI.
created Sep 12 at 21:41
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For questions related to the principal component analysis (PCA) technique, which can be used for dimensionality reduction.
created Sep 9 at 14:45