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Het kaartspel SET, dat gespeeld wordt met 81 kaarten waarop verschillende geometrische afbeeldingen staan, werd in het begin van de jaren '90 populair en heeft sindsdien ook de belangstelling van wiskundigen gewekt. In dit artikel modelleren we het kaartspel aan de hand van een vierdimensionale vectorruimte over het veld 𝔽3. Deze vectorruimte kunnen we interpreteren als meetkundige ruimte met een eindig aantal punten. Via deze interpretatie worden drie kaarten uit het kaartspel die een set vormen voorgesteld door drie collineaire punten. We proberen in dit artikel een bewijs te geven van de stelling dat de kleinste verzameling van speelkaarten die altijd minstens één set bevat, bestaat uit 21 kaarten. De berekeningen steunen aanvankelijk alleen op combinatorische tellingen en op het duivenhokprincipe. In de laatste bewijzen van dit artikel maken we ook gebruikt van de methode van de dubbele telling.
Esta plantilla esta pensada para que diversos autores creen su propio libro de sueños y aprendan LaTex a la par a través del proyecto Calladium. Más información aquí: https://rtonalli.gitlab.io/calladium/
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This template aims to help Spanish-speaking non-technical-savvy writers and students to learn how to use LaTeX and Overleaf for their writing projects. For more information, please visit: https://gitlab.com/rtonalli/calladium
Libertad Pantoja, Carlo Fabrizzio Moncada Rangel, Aaron Martinez, José Antonio Sayago, Santiago Torres Casillas,
This template allows easy creation of datasheets based on the work by Gebru, Timnit et al. “Datasheets for Datasets.” ArXiv abs/1803.09010 (2018): n. pag.
Question Answering can be improved by focusing on three areas like the ontology enhanced processing and augmentation, content manipulation approaches, the query and the answer. Ontology enhanced processing could enhance answers to include identified objects satisfying a query. Natural language user questions and information sources with a common ontology are required for ontology-based QA systems. A Question Answering System returns answer to a user question in succinct form. In order to provide a precise answer, the system must know what exactly a user wants. The prior knowledge of the expected answer type helps the Question Answering System to extract correct and precise. Question Answering is one of the major issues in e-learning research on how to provide more interactive activities around the learners and instructors. Every answer to the questions must be relevant to the users query in that context. The input is given to the tree-tagger parser to identify the syntactical information. This syntactical information gives us the lexical constraints like Noun {NN}, Verb {VV} and other terms. The noun and verb keywords are analyzed with the semantic meaning using WordNet and semantic similarity measures. This paper proposes a method for QA system by providing different patterns for the same questions.
LaTeX MSc/Eng thesis template for Akademia Górniczo-Hutnicza (AGH). This template was originally published on ShareLaTeX and subsequently moved to Overleaf in November 2019.
UChicago PhD Dissertation Template v1.2.0 released July 7, 2022.
See Information for PhD Students maintained by the Dissertation Office for more.
Please file any issues at https://github.com/k4rtik/uchicago-dissertation.
Michael Victor Zink (formerly at IT Services) and Kartik Singhal
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