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...f Knowledge Discovery in Databases and 20th European Conference on Machine Learning|volume=2009|url=http://www.cs.waikato.ac.nz/~ml/publications/2009/chains.pd ...l dependence in multi-label classification|journal=Workshop Proceedings of Learning from Multi-Label Data|volume=2010|pages=5–12|url=http://www.mathematik.uni- ...

* A read-only ''input'' tape. * A read/write ''work'' tape (bounded to at most <math>O(\log n)</math> symbols). ...

A '''binary expression tree''' is a specific kind of a [[binary tree]] used to represent [[Expression (mathematics)|expressions]]. Two common types of exp ...hem are pushed onto a stack. For convenience the stack will grow from left to right. ...

In mathematics, a '''read-once function''' is a special type of [[Boolean function]] that can be desc ...Monotonic function|positive]] read-once Boolean function, represented by a read-once expression without negations.<ref>{{harvtxt|Golumbic|Gurvich|2011}}, p ...

...]s, similar to [[Markov network]]s, wherein each vertex (node) corresponds to a random variable and each edge captures dependencies among variables. ...ollaborative Filtering, and Data Visualization |journal=Journal of Machine Learning Research |date=October 2000 |url=http://www.jmlr.org/papers/volume1/heckerm ...

...lected randomly.] These are the ''n''-tuples. The restriction of a pattern to an n-tuple can be regarded as an ''n''-bit number which, together with the ''A pattern is classified as belonging to the class for which it has the most features in common with at least one tr ...

...AP consisting of two fuzzy ART modules connected by an inter-ART map field to an extended architecture consisting of multiple ART modules. ...3=L.-N.|date=2017|title=Semantic Memory Modeling and Memory Interaction in Learning Agents|url=https://ieeexplore.ieee.org/document/7429758|journal=IEEE Transa ...

{{Short description|Form of association rule learning}} ...rast set learning''' is a form of [[association rule learning]] that seeks to identify meaningful differences between separate groups by reverse-engineer ...

...rating a set of candidate values to replace the unknown parameters that we read as compatible replicas of them. They represent a population of specificatio ...fixed at the observed ones; and ii) the seeds, which are random according to their own distribution. Hence from a set of seed samples we obtain a set of ...

...recall task.gif|thumb|300px|A differentiable neural computer being trained to store and recall dense binary numbers. Performance of a reference task duri ...om [[Von Neumann architecture|Von-Neumann architecture]], making it likely to outperform conventional architectures in tasks that are fundamentally algor ...

{{AFC comment|1=Please read [[WP:NOTTEXTBOOK]]. Currently this page reads like one, it needs wider ency ...=31 December 2016 | publisher=EEEguide – Online Electrical and Electronics Learning Site | access-date=2024-12-02 }}</ref><ref>{{cite web | url=https://www.ele ...

...changing an argument from false to true cannot change the output from true to false. Every monotone Boolean function can be expressed as a [[Boolean expr ...m]]. For monotone functions these two special forms can also be restricted to be monotone:{{r|emg-survey}} ...

{{Short description|Model used by cost accountants to determine profit}} ...h notation in this article is a mess and some of the phrasing is insulting to the reader.|date=February 2013}} ...

{{Short description|Number of times an audience is exposed to advertisement}} ...ept is a fundamental element of marketing communication strategies, aiming to enhance brand recall, create awareness, and influence consumer behavior thr ...

...cient and has only a small effect in improving [[human capital]], contrary to the conventional consensus in [[labor economics]]. ...ls' return to education is the result of signaling, with the remainder due to human [[capital accumulation]]. ...

{{machine learning bar}} ...n nodes are usually learned in a single step, which essentially amounts to learning a linear model. ...

...f a saliency map is to reflect the [[degree of importance]] of a [[pixel]] to the human [[Visual perception|visual system]] or an otherwise opaque ML mod ...not necessary to compress the entire frame with uniform quality. According to the authors, using a salience map reduces the final size of the video with ...

...created by a research group in [[AT&T Bell Laboratories]] during the 1988 to 1998 period, centered around [[Yann LeCun]]. They were designed for reading ...arning]].<ref>{{Cite book |last1=Zhang |first1=Aston |title=Dive into deep learning |last2=Lipton |first2=Zachary |last3=Li |first3=Mu |last4=Smola |first4=Ale ...

| name = Closing the Gap: The Quest to Understand Prime Numbers '''''Closing the Gap: The Quest to Understand Prime Numbers''''' is a book on [[prime number]]s and [[prime ga ...

...ilable to any data analyst. Cornerstones in this field are [[computational learning theory]], [[granular computing]], [[bioinformatics]], and, long ago, struct ...he interest of computer scientists from the algorithms for processing data to the [[information]] they process. ...