Academic literature on the topic 'Binary word'
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Journal articles on the topic "Binary word"
Teh, Wen Chean. "On Core Words and the Parikh Matrix Mapping." International Journal of Foundations of Computer Science 26, no. 01 (January 2015): 123–42. http://dx.doi.org/10.1142/s0129054115500069.
Full textHolmberg, Anders. "Icelandic Word Order and Binary Branching." Nordic Journal of Linguistics 8, no. 2 (December 1985): 161–95. http://dx.doi.org/10.1017/s0332586500001323.
Full textIlić, Aleksandar, Sandi Klavžar, and Yoomi Rho. "The index of a binary word." Theoretical Computer Science 452 (September 2012): 100–106. http://dx.doi.org/10.1016/j.tcs.2012.05.025.
Full textWang, Yuwei, Yi Zeng, Jianbo Tang, and Bo Xu. "Biological Neuron Coding Inspired Binary Word Embeddings." Cognitive Computation 11, no. 5 (July 24, 2019): 676–84. http://dx.doi.org/10.1007/s12559-019-09643-1.
Full textHADRAVOVÁ, JANA, and ŠTĚPÁN HOLUB. "LARGE SIMPLE BINARY EQUALITY WORDS." International Journal of Foundations of Computer Science 23, no. 06 (September 2012): 1385–403. http://dx.doi.org/10.1142/s0129054112500207.
Full textTissier, Julien, Christophe Gravier, and Amaury Habrard. "Near-Lossless Binarization of Word Embeddings." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7104–11. http://dx.doi.org/10.1609/aaai.v33i01.33017104.
Full textKowalski, Jacek M., and Andrzej Pękalski. "On evolving chains of cube-free binary sequences." Notes on Number Theory and Discrete Mathematics 27, no. 3 (September 2021): 79–94. http://dx.doi.org/10.7546/nntdm.2021.27.3.79-94.
Full textKumova Metin, Senem, and Bahar Karaoğlan. "STOP WORD DETECTION AS A BINARY CLASSIFICATION PROBLEM." ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering 18, no. 2 (June 30, 2017): 1. http://dx.doi.org/10.18038/aubtda.322136.
Full textGabric, Daniel, and Jeffrey Shallit. "The simplest binary word with only three squares." RAIRO - Theoretical Informatics and Applications 55 (2021): 3. http://dx.doi.org/10.1051/ita/2021001.
Full textAnh, V. N., and A. Moffat. "Improved word-aligned binary compression for text indexing." IEEE Transactions on Knowledge and Data Engineering 18, no. 6 (June 2006): 857–61. http://dx.doi.org/10.1109/tkde.2006.99.
Full textDissertations / Theses on the topic "Binary word"
Oudjida, Abdelkrim Kamel. "Binary Arithmetic for Finite-Word-Length Linear Controllers : MEMS Applications." Thesis, Besançon, 2014. http://www.theses.fr/2014BESA2001/document.
Full textThis thesis addresses the problem of optimal hardware-realization of finite-word-length(FWL) linear controllers dedicated to MEMS applications. The biggest challenge is to ensuresatisfactory control performances with a minimal hardware. To come up, two distinct butcomplementary optimizations can be undertaken: in control theory and in binary arithmetic. Only thelatter is involved in this work.Because MEMS applications are targeted, the binary arithmetic must be fast enough to cope withthe rapid dynamic of MEMS; power-efficient for an embedded control; highly scalable for an easyadjustment of the control performances; and easily predictable to provide a precise idea on therequired logic resources before the implementation.The exploration of a number of binary arithmetics showed that radix-2r is the best candidate that fitsthe aforementioned requirements. It has been fully exploited to designing efficient multiplier cores,which are the real engine of the linear systems.The radix-2r arithmetic was applied to the hardware integration of two FWL structures: a linear timevariant PID controller and a linear time invariant LQG controller with a Kalman filter. Both controllersshowed a clear superiority over their existing counterparts, or in comparison to their initial forms
Tergino, Christian Sean. "Efficient Binary Field Multiplication on a VLIW DSP." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33693.
Full textMaster of Science
Tissier, Julien. "Improving methods to learn word representations for efficient semantic similarites computations." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSES008.
Full textMany natural language processing applications rely on word representations (also called word embeddings) to achieve state-of-the-art results. These numerical representations of the language should encode both syntactic and semantic information to perform well in downstream tasks. However, common models (word2vec, GloVe) use generic corpus like Wikipedia to learn them and they therefore lack specific semantic information. Moreover it requires a large memory space to store them because the number of representations to save can be in the order of a million. The topic of my thesis is to develop new learning algorithms to both improve the semantic information encoded within the representations while making them requiring less memory space for storage and their application in NLP tasks.The first part of my work is to improve the semantic information contained in word embeddings. I developed dict2vec, a model that uses additional information from online lexical dictionaries when learning word representations. The dict2vec word embeddings perform ∼15% better against the embeddings learned by other models on word semantic similarity tasks. The second part of my work is to reduce the memory size of the embeddings. I developed an architecture based on an autoencoder to transform commonly used real-valued embeddings into binary embeddings, reducing their size in memory by 97% with only a loss of ∼2% in accuracy in downstream NLP tasks
Guillon, B. "Two-wayness: Automata and Transducers." Doctoral thesis, Università degli Studi di Milano, 2016. http://hdl.handle.net/2434/385609.
Full textKelan, Elisabeth Kristina. "Binary logic? : doing gender in information communication technology work." Thesis, London School of Economics and Political Science (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429370.
Full textCulnane, Christopher. "Mark my words : binary watermarking robust to printing and scanning." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/843362/.
Full textFrost, R. A. "The binary-relational view and aspects of database and knowledge base systems work." Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381496.
Full textVizenor, Katie Virginia. "Binary Lives| Digital Citizenship and Disability Participation in a User Content Created Virtual World." Thesis, State University of New York at Buffalo, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3613110.
Full textDigital Citizenship is a concept typically used in discussions of how technology impacts our relationships with others and our physical world communities. It is also used to describe ways that we can leverage our technology use and skill to make our communities and nations better and stronger. Educators are now teaching "good digital citizenship" as part of a larger civics curriculum.
But, there is a second, emerging concept that I refer to as platform specific digital citizenship. I define this platform specific citizenship as the deep and abiding commitment and sense of responsibility that people develop in relation to a particular technology, such as software or technology brand. It may also refer to the ideas that people express in regard to how technology should ideally be used and what rights and responsibilities it requires of its adherents.
Massively Multiplayer Online Worlds (MMOWs) are one place researchers are finding this deep, platform specific digital citizenship emerging. These are persistent digital universes where people from all over the world develop online personas, leadership structures, discussion forums, and business and non-profit entities. The ability and extent to which this online organization is possible is largely due to the underlying structure, rules and allowances of the world of which people choose to be a part.
One online world, Second Life, has a large, active and vocal disabled population. They have committed to this environment because of the unique opportunities and freedoms that it provides. As a user content created environment, residents, as Second Life participants are referred to, are given an unprecedented amount of freedom to create the kind of experience they want. This may involve developing relationships and projects with other disabled residents. It can also involve exploring other aspects of themselves and their interests that are often neglected in their real lives due to social exclusion, and/or lack of financial and physical access.
Most of the research and popular media examinations of disability in Second Life centers on participation in disability specific communities or the benefits of identity exploration through avatar design. But, the reasons disabled people stay here is much broader and varied than what this limited discussion suggests. Commitment to Second Life is strong precisely because disability community commitment and disability expression are not the only options but exist among a wide range of choices. Moreover, the expression of disability and use of such mediated environments is constantly debated in both word and deed.
This dissertation explores the concept of digital citizenship and why people that identify as disabled in real life are attracted to committed participation in virtual worlds, in particular, Second Life. What opportunities and rights are disabled people afforded here through the technology structure? What are the avenues of entry into the Second Life community, and what does the variety of these entry points and special interest sub-communities tell us about what is important to them? How is commitment debated and deepened through the use of public spaces and forums? And, what can researchers, public health and information professionals learn from these features that can improve their own outreach?
Bull, Brooks A. "Parents of Non-Binary Children: Stories of Understanding and Support." Antioch University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1620153478670169.
Full textKindbom, Hannes. "LSTM vs Random Forest for Binary Classification of Insurance Related Text." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252748.
Full textDet vetenskapliga området språkteknologi har fått ökad uppmärksamhet den senaste tiden, men mindre fokus riktas på att jämföra modeller som skiljer sig i komplexitet. Den här kandidatuppsatsen jämför Random Forest med LSTM, genom att undersöka hur väl modellerna kan användas för att klassificera ett meddelande som fråga eller icke-fråga. Jämförelsen gjordes genom att träna och optimera modellerna på historisk chattdata från det svenska försäkringsbolaget Hedvig. Olika typer av word embedding, så som Word2vec och Bag of Words, testades också. Resultaten visade att LSTM uppnådde något högre F1 och accuracy än Random Forest. Modellernas prestanda förbättrades inte signifikant efter optimering och resultatet var också beroende av vilket korpus modellerna tränades på. En undersökning av hur en chattbot skulle påverka Hedvigs adoption rate genomfördes också, huvudsakligen genom att granska tidigare studier om chattbotars effekt på användarupplevelsen. De potentiella effekterna på en innovations fem attribut, relativ fördel, kompatibilitet, komplexitet, prövbarhet and observerbarhet analyserades för att kunna svara på frågeställningen. Resultaten visade att Hedvigs adoption rate kan påverkas positivt, genom att förbättra de två första attributen. Effekterna en chattbot skulle ha på komplexitet, prövbarhet och observerbarhet ansågs dock vara försumbar, om inte negativ.
Books on the topic "Binary word"
artist), HIMA (Comic book, Allen Jocelyne 1974-, and Beepee, eds. Accel World: The binary stars of destiny. New York, NY: Yen Press, 2016.
Find full textAbels, Birgit. Music Worlding in Palau. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463725125.
Full textVeshkurtsev, Yury. THE FOUNDATIONS OF THE THEORY OF CONSTRUCTION OF NEW-GENERATION MODEMS. au: AUS PUBLISHERS, 2022. http://dx.doi.org/10.26526/monography_628a8925151ca0.71125494.
Full textMcLeod, Frank E. Binary Word: God's Binary Logic in the Bible. Independently Published, 2019.
Find full textLipp, Deborah. Bending the Binary: Polarity Magic in a Non-Binary World. Llewellyn Publications, 2023.
Find full textBending the Binary: Polarity Magic in a Non-Binary World. Llewellyn Publications, 2023.
Find full textGender Stories: Negotiating Identity in a Binary World. Waveland Press, Incorporated, 2012.
Find full textCarlson, Nicholas. How binary system works about one world USA Empire. Lulu Press, Inc., 2009.
Find full textBook chapters on the topic "Binary word"
Vorobyova, E. G. "On efficiency of prefix word-encoding of binary messages." In Fundamentals of Computation Theory, 477–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-18740-5_104.
Full textHe, Yan, and Yang Liu. "Chinese Word Order Analysis Based on Binary Dependency Relationships." In Lecture Notes in Computer Science, 149–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49508-8_15.
Full textDey, Sounak, Anguelos Nicolaou, Josep Llados, and Umapada Pal. "Local Binary Pattern for Word Spotting in Handwritten Historical Document." In Lecture Notes in Computer Science, 574–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49055-7_51.
Full textShah, Khushboo, Hardik Joshi, and Hiren Joshi. "Evaluating Binary Classifiers with Word Embedding Techniques for Public Grievances." In Soft Computing and its Engineering Applications, 209–21. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05767-0_17.
Full textAlatabbi, Ali, Carl Barton, Costas S. Iliopoulos, and Laurent Mouchard. "Querying Highly Similar Structured Sequences via Binary Encoding and Word Level Operations." In IFIP Advances in Information and Communication Technology, 584–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33412-2_60.
Full textJaworski, Rafał, Krzysztof Jassem, and Krzysztof Stroński. "Binary Classification Algorithms for the Detection of Sparse Word Forms in New Indo-Aryan Languages." In Human Language Technology. Challenges for Computer Science and Linguistics, 123–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93782-3_10.
Full textHoudré, Christian, and Trevis J. Litherland. "Asymptotics for the Length of the Longest Increasing Subsequence of a Binary Markov Random Word." In Malliavin Calculus and Stochastic Analysis, 511–24. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-5906-4_23.
Full textRestivo, Antonio, and Sergio Salemi. "Binary Patterns in Infinite Binary Words." In Lecture Notes in Computer Science, 107–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45711-9_8.
Full texthicks, benjamin lee. "Beyond This or That: Challenging the Limits of Binary Language in Elementary Education Through Poetry, Word Art, and Creative Bookmaking." In Teaching, Affirming, and Recognizing Trans and Gender Creative Youth, 81–106. New York: Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-56766-6_5.
Full textDabashi, Hamid. "Breaking the Binary." In Being a Muslim in the World, 19–41. New York: Palgrave Macmillan US, 2013. http://dx.doi.org/10.1057/9781137301291_3.
Full textConference papers on the topic "Binary word"
Johnson, Christian. "Binary Encoded Word Mover’s Distance." In Proceedings of the 7th Workshop on Representation Learning for NLP. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.repl4nlp-1.17.
Full textZhang, Bin, Sargur N. Srihari, and Chen Huang. "Word image retrieval using binary features." In Electronic Imaging 2004, edited by Elisa H. Barney Smith, Jianying Hu, and James Allan. SPIE, 2003. http://dx.doi.org/10.1117/12.523968.
Full textSheen, Spencer, and Jiancheng Lyu. "Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition." In 2019 Data Compression Conference (DCC). IEEE, 2019. http://dx.doi.org/10.1109/dcc.2019.00116.
Full textMartineau, Justin, Tim Finin, Anupam Joshi, and Shamit Patel. "Improving binary classification on text problems using differential word features." In Proceeding of the 18th ACM conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1645953.1646291.
Full textMostard, Wouter, Lambert Schomaker, and Marco Wiering. "Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings." In NLPIR 2021: 2021 5th International Conference on Natural Language Processing and Information Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3508230.3508235.
Full textPuzrla, Premysl, Frédéric Bimbot, and Christoph Windheuser. "Distributed binary representations for word recognition by TDNN-DTW hybrid systems." In 4th European Conference on Speech Communication and Technology (Eurospeech 1995). ISCA: ISCA, 1995. http://dx.doi.org/10.21437/eurospeech.1995-412.
Full textMa, Changyi, and Wenye Li. "Evaluation of Sparse Binary Word Vectors in Chinese-English Machine Translations." In 2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2021. http://dx.doi.org/10.1109/iscmi53840.2021.9654808.
Full textVoyiatzis, Ioannis. "Symmetric transparent on-line BIST of word-organized memories with binary adders." In 2015 20th IEEE European Test Symposium (ETS). IEEE, 2015. http://dx.doi.org/10.1109/ets.2015.7138744.
Full textGooding, Sian, Ekaterina Kochmar, Advait Sarkar, and Alan Blackwell. "Comparative judgments are more consistent than binary classification for labelling word complexity." In Proceedings of the 13th Linguistic Annotation Workshop. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4024.
Full textOudjida, A. K., A. Liacha, M. L. Berrandjia, and N. Chaillet. "A new binary arithmetic for finite-word-length linear controllers: MEMS applications." In 2014 9th International Design & Test Symposium (IDT). IEEE, 2014. http://dx.doi.org/10.1109/idt.2014.7038608.
Full textReports on the topic "Binary word"
Skinner, Corey Michael. Summer term 2018 work with IMC radiative transport in binary stochastic media. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1467246.
Full textColaço, Rajeev, and Stephanie Watson-Grant. A Global Call to Action for Gender-Inclusive Data Collection and Use. RTI Press, December 2021. http://dx.doi.org/10.3768/rtipress.2021.pb.0026.2112.
Full textBarakat, Sarah, Alexia Pretari, and Jaynie Vonk. Centring Gender and Power in Evaluation and Research: Sharing experiences from Oxfam GB's quantitative impact evaluations. Oxfam GB, July 2021. http://dx.doi.org/10.21201/2021/7789.
Full textFarhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, December 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.
Full textAllen, Jeffrey, Robert Moser, Zackery McClelland, Md Mohaiminul Islam, and Ling Liu. Phase-field modeling of nonequilibrium solidification processes in additive manufacturing. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42605.
Full textLi, Cheng, Xi Gao, Steven Rowan, Bryan Hughes, Jeremy Harris, and William Rogers. Experimental investigation on the binary/ternary fluidization behavior of Geldart D type spherical LDPE, Geldart D type cylindrical wood and Geldart B type sand particles. Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1776642.
Full textRatmanski, Kiril, and Sergey Vecherin. Resilience in distributed sensor networks. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45680.
Full textMawassi, Munir, Adib Rowhani, Deborah A. Golino, Avichai Perl, and Edna Tanne. Rugose Wood Disease of Grapevine, Etiology and Virus Resistance in Transgenic Vines. United States Department of Agriculture, November 2003. http://dx.doi.org/10.32747/2003.7586477.bard.
Full textWilson, Thomas E., Avraham A. Levy, and Tzvi Tzfira. Controlling Early Stages of DNA Repair for Gene-targeting Enhancement in Plants. United States Department of Agriculture, March 2012. http://dx.doi.org/10.32747/2012.7697124.bard.
Full textMiles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber, and Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, August 1995. http://dx.doi.org/10.32747/1995.7570567.bard.
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