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Generalisations Example

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13 documents available in our comprehensive collection of Generalisations Example resources. Find practical guides, tutorials, and documentation to enhance your knowledge.

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slides (bguedj-talk-2021-chalmers.pdf)

3.7 MBBenjamin Guedj ` `%%%`#`&12_`__~~~ alse 55 @bguedjEN 39 pages
Benjamin Guedj discusses generalisation and learning, specifically PAC-Bayes, with a background in pure mathematics and statistics.
Preview of http://www.lix.polytechnique.fr/Labo/Samuel.Mimram/docs/mimram_rta2015.pdf
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http://www.lix.polytechnique.fr/Labo/Samuel.Mimram/docs/mimram_rta2015.pdf (mimram_rta2015.pdf)

513 KBEN 17 pages
The authors introduce a notion of presentation of a category modulo a rewriting system, generalizing traditional techniques of rewriting modulo an equational...
Preview of “Rules of allomorphy and syntax-phonology interactions”
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“Rules of allomorphy and syntax-phonology interactions” (RulesOfAllomorphy.pdf)

727 KBArnold M. ZwickyEN 6 pages
Arnold M.
Preview of Active Model Adaptation Under Unknown Shift.
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Active Model Adaptation Under Unknown Shift. (kdd22-auto.pdf)

1.23 MBEN 9 pages
Machine learning models typically rely on a fixed distribution, but data distribution shift is commonly observed in real-world practice due to unforeseen...
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Перейти к публикации (paper05.pdf)

1.54 MBEN 8 pages
It formulates the problem of learning ontology from a sample of texts and describes the structure of data ontology, including basic level concepts and higher...
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Author comments - Rebekah Pratt (12889_2017_4182_AuthorComment_V1.pdf)

179 KBmbalivaEN 13 pages
Authors respond to reviewer comments on a study about Somali women and men's views on faith-based messages promoting breast and cervical cancer screening.
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Survey Research Fundamentals (05_0638.pdf)

342 KBPriscilla GlasowEN 28 pages
MITRE product discusses fundamentals of survey research methodology, covering survey strengths and weaknesses, survey design, sample selection, survey...
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Archived (live-105-1426-jair.pdf)

253 KBEN 24 pages
Multiclass learning involves finding a definition for an unknown function f(x) with a discrete range of k values (classes).
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Nested Mixture of Experts for Hybrid Dynamical Systems (ahn21a.pdf)

952 KBEN 12 pages
Nested Mixture of Experts' learns hybrid dynamical systems, balancing bias-variance and incorporating domain knowledge.
Preview of Networks of Relations: Distributed Learning and Generalization
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Networks of Relations: Distributed Learning and Generalization (etr071.pdf)

114 KBEN 6 pages
Networks of Relations for Representation, Learning, and Generalization propose knowledge representation as a network of relations between variables, distributing relationships and encoding past experiences. This distributed system functions as an associative memory, utilizing an...
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Higher-Kinded Types (tcpoly.pdf)

658 KBEN 16 pages
Generics of a higher kind allow abstracting over type constructors. This feature is implemented in Scala, enabling more expressive code. It interacts with object-oriented constructs, reducing code duplication.
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Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks (2106.00774.pdf)

5.64 MBEN 32 pages
Gradient flows are used to optimize functionals in probability spaces with the Wasserstein metric. A typical approach involves the Jordan-Kinderlehrer-Otto scheme, but this is challenging in high dimensions. We propose using input-convex neural networks to approximate the scheme.
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Timetable Coloring (bakery.pdf)

304 KBEN 3 pages
The existence of a-coloration in a graph is necessary and sufficient for solving the class-teacher timetable problem. This condition allows existing graph coloring algorithms to be applied. It was determined in July 1973 and revised in February 1974.

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