Gotowa bibliografia na temat „Behaviour discovery”
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Artykuły w czasopismach na temat "Behaviour discovery"
Bevilacqua, Laura, i David Goldman. "Genetics of impulsive behaviour". Philosophical Transactions of the Royal Society B: Biological Sciences 368, nr 1615 (5.04.2013): 20120380. http://dx.doi.org/10.1098/rstb.2012.0380.
Pełny tekst źródłaTurčínek, Pavel, i Arnošt Motyčka. "Knowledge discovery on consumers’ behaviour". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, nr 7 (2013): 2893–901. http://dx.doi.org/10.11118/actaun201361072893.
Pełny tekst źródłaAtton, N., W. Hoppitt, M. M. Webster, B. G. Galef i K. N. Laland. "Information flow through threespine stickleback networks without social transmission". Proceedings of the Royal Society B: Biological Sciences 279, nr 1745 (15.08.2012): 4272–78. http://dx.doi.org/10.1098/rspb.2012.1462.
Pełny tekst źródłaLea, Stephen, Lisa Leaver i Kristen Jule. "Using a behaviour discovery curve to predict optimal observation time". Behaviour 146, nr 11 (2009): 1531–42. http://dx.doi.org/10.1163/156853909x447775.
Pełny tekst źródłaVigliotti, Maria Grazia, i Chris Hankin. "Discovery of anomalous behaviour in temporal networks". Social Networks 41 (maj 2015): 18–25. http://dx.doi.org/10.1016/j.socnet.2014.12.001.
Pełny tekst źródłaBrogi, Antonio, i Sara Corfini. "Behaviour-Aware Discovery of Web Service Compositions". International Journal of Web Services Research 4, nr 3 (lipiec 2007): 1–25. http://dx.doi.org/10.4018/jwsr.2007070101.
Pełny tekst źródłaHopkins, Mark E., i Oksana L. Zavalina. "Evaluating physicians’ serendipitous knowledge discovery in online discovery systems". Aslib Journal of Information Management 71, nr 6 (18.11.2019): 755–72. http://dx.doi.org/10.1108/ajim-02-2019-0045.
Pełny tekst źródłaLewis, Suzanne. "E-Book Discovery and Use Behaviour is Complex". Evidence Based Library and Information Practice 3, nr 2 (17.06.2008): 38. http://dx.doi.org/10.18438/b8d040.
Pełny tekst źródłaKhater, Maamar, Salah Eddine Habibeche i Mimoun Malki. "Behaviour approach for composite OWL-S services discovery". International Journal of Business Information Systems 25, nr 1 (2017): 55. http://dx.doi.org/10.1504/ijbis.2017.083276.
Pełny tekst źródłaKhater, Maamar, Mimoun Malki i Salah Eddine Habibeche. "Behaviour approach for composite OWL-S services discovery". International Journal of Business Information Systems 25, nr 1 (2017): 55. http://dx.doi.org/10.1504/ijbis.2017.10003905.
Pełny tekst źródłaRozprawy doktorskie na temat "Behaviour discovery"
Ellul, Andrew. "Trading behaviour, price discovery and volatility in competing market microstructures". Thesis, London School of Economics and Political Science (University of London), 2001. http://etheses.lse.ac.uk/2102/.
Pełny tekst źródłaChristie, Lorna Grace. "Discovery of novel polyoxopalladates and investigation of their supramolecular behaviour". Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/8860/.
Pełny tekst źródłaHassan, Ahmed Mai. "Discovery and restoration of aberrant nuclear structure and genome behaviour in breast cancer cells". Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/8847.
Pełny tekst źródłaLabus, Michael. "Discovery of the CRM behaviour theory : managing corporate customer relationships in the changing telecoms industry". Thesis, University of the West of England, Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444495.
Pełny tekst źródłaWebb, Joseph Charles. "The use of discovery awareness in intellectual disability services : examining a European approach to challenging behaviour in a UK setting". Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/43360/.
Pełny tekst źródłaBelfodil, Aimene. "An order theoretic point-of-view on subgroup discovery". Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEI078.
Pełny tekst źródłaAs the title of this dissertation may suggest, the aim of this thesis is to provide an order-theoretic point of view on the task of subgroup discovery. Subgroup discovery is the automatic task of discovering interesting hypotheses in databases. That is, given a database, the hypothesis space the analyst wants to explore and a formal way of how the analyst gauges the quality of the hypotheses (e.g. a quality measure); the automated task of subgroup discovery aims to extract the interesting hypothesis w.r.t. these parameters. In order to elaborate fast and efficient algorithms for subgroup discovery, one should understand the underlying properties of the hypothesis space on the one hand and the properties of its quality measure on the other. In this thesis, we extend the state-of-the-art by: (i) providing a unified view of the hypotheses space behind subgroup discovery using the well-founded mathematical tool of order theory, (ii) proposing the new hypothesis space of conjunction of linear inequalities in numerical databases and the algorithms enumerating its elements and (iii) proposing an anytime algorithm for discriminative subgroup discovery on numerical datasets providing guarantees upon interruption
Viljoen, Christo. "Price discovery, price behaviour, and efficiency of selected grain commodities traded on the agricultural products division of the JSE securities exchange". Thesis, Rhodes University, 2004. http://hdl.handle.net/10962/d1002686.
Pełny tekst źródłaPsorakis, Ioannis. "Probabilistic inference in ecological networks : graph discovery, community detection and modelling dynamic sociality". Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:84741d8b-31ea-4eee-ae44-a0b7b5491700.
Pełny tekst źródłaSmedman, Gustaf, i Timo Kervinen. "Spectrum auctions in Sweden : A theoretical study of spectrum auctions in Sweden". Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48728.
Pełny tekst źródłaKrawitz, Ronald Michael. "Code Clone Discovery Based on Functional Behavior". NSUWorks, 2012. http://nsuworks.nova.edu/gscis_etd/201.
Pełny tekst źródłaKsiążki na temat "Behaviour discovery"
Blake, Peggy. Discover your health behaviors: A self-assessment and behavior change manual. New York: Random House, 1987.
Znajdź pełny tekst źródłaStone, Lynn M. Wolves: North American animal discovery library. Vero Beach, FL: Rourke Corp., 1990.
Znajdź pełny tekst źródłaCordeschi, Roberto. The Discovery of the Artificial: Behavior, Mind and Machines Before and Beyond Cybernetics. Dordrecht: Springer Netherlands, 2002.
Znajdź pełny tekst źródłaCordeschi, Roberto. The discovery of the artificial: Behavior, mind, and machines before and beyond cybernetics. Dordrecht: Kluwer Academic Publishers, 2002.
Znajdź pełny tekst źródłaEducational Resources Information Center (U.S.), red. 1993 Ohio Youth Risk Behavior Survey (YRBS): When, why, and what was discovered. [Columbus, Ohio]: Ohio Dept. of Education, 1994.
Znajdź pełny tekst źródłaKeesling, Barbara. Super sexual orgasm: Discover the ultimate pleasure spot, the cul-de-sac. New York: HarperCollins Publishers, 1997.
Znajdź pełny tekst źródłaSills, Judith. Excess baggage: Discover which 'ruling passion' is weighing you down. London: Thorsons, 1993.
Znajdź pełny tekst źródłaPatterson, Ella. Will the real women-- please stand up!: Uncommon sense about sexuality, self-esteem, self-discovery, sex, and sensuality. New York: Simon & Schuster, 1996.
Znajdź pełny tekst źródłaRose, Seb Seb, Yuya Yuya Kazama i Gaspar Gaspar Nagy. Discovery: Explore Behaviour Using Examples. Independently Published, 2022.
Znajdź pełny tekst źródłaCzęści książek na temat "Behaviour discovery"
Neenan, Michael, i Windy Dryden. "Guided Discovery". W Cognitive Behaviour Therapy, 90–92. Third edition. | London; New York: Routledge, Taylor & Francis Group, 2021. | Series: 100 key points and techniques: Routledge, 2020. http://dx.doi.org/10.4324/9781003134053-38.
Pełny tekst źródłaGong, Shaogang, i Tao Xiang. "Hierarchical Behaviour Discovery". W Visual Analysis of Behaviour, 215–32. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-670-2_9.
Pełny tekst źródłaStevenson, Robin. "Gap Discovery and Analysis". W Learning and Behaviour in Medicine, 25–30. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003270287-5.
Pełny tekst źródłaNeenan, Michael, i Windy Dryden. "Socratic Questioning (A Method Of Guided Discovery)". W Cognitive Behaviour Therapy, 153–55. Third edition. | London; New York: Routledge, Taylor & Francis Group, 2021. | Series: 100 key points and techniques: Routledge, 2020. http://dx.doi.org/10.4324/9781003134053-66.
Pełny tekst źródłaZheng, Pengjun, i Mike McDonald. "Application of Fuzzy Systems in the Car-Following Behaviour Analysis". W Fuzzy Systems and Knowledge Discovery, 782–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_97.
Pełny tekst źródłaMarascu, Alice, i Florent Masseglia. "A Multi-resolution Approach for Atypical Behaviour Mining". W Advances in Knowledge Discovery and Data Mining, 899–906. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01307-2_94.
Pełny tekst źródłaZhang, Xiuzhen, Guozhu Dong i Kotagiri Ramamohanarao. "Building Behaviour Knowledge Space to Make Classification Decision". W Advances in Knowledge Discovery and Data Mining, 488–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45357-1_51.
Pełny tekst źródłaElsayed, Shereen, Ahmed Rashed i Lars Schmidt-Thieme. "HMAR: Hierarchical Masked Attention for Multi-behaviour Recommendation". W Advances in Knowledge Discovery and Data Mining, 131–43. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2262-4_11.
Pełny tekst źródłaAbghari, Shahrooz, Veselka Boeva, Jens Brage i Christian Johansson. "District Heating Substation Behaviour Modelling for Annotating the Performance". W Machine Learning and Knowledge Discovery in Databases, 3–11. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43887-6_1.
Pełny tekst źródłaOts, Kärt, Fernando Loizides i Sónia Sousa. "Information Seeking Behaviour of Scholars Using Resource Discovery Systems". W Communications in Computer and Information Science, 405–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28197-1_41.
Pełny tekst źródłaStreszczenia konferencji na temat "Behaviour discovery"
Kirk, Jan, i Marco Scirea. "Towards Diverse Non-Player Character behaviour discovery in multi-agent environments". W 2024 IEEE Conference on Games (CoG), 1–4. IEEE, 2024. http://dx.doi.org/10.1109/cog60054.2024.10645617.
Pełny tekst źródłaZhang, Qinqiang, Ryo Matsumura, Kazuhito Tsukagoshi i Naoki Fukata. "Fabrication and Characterization of Germanium Monosulfide Field-Effect Transistors". W JSAP-Optica Joint Symposia, 18a_A35_4. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/jsapo.2024.18a_a35_4.
Pełny tekst źródłade Moura, Nelson, Fernando Garrido i Fawzi Nashashibi. "Improving behavior profile discovery for vehicles". W 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 927–34. IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802505.
Pełny tekst źródłaQi, Shuhan, Chengkai Huang i Yifan Li. "Understanding Brand's Association: Fine-Grained Multi-Modal Content Discovery for Brands". W 2024 11th International Conference on Behavioural and Social Computing (BESC), 1–6. IEEE, 2024. https://doi.org/10.1109/besc64747.2024.10780459.
Pełny tekst źródłaHeinström, Jannica, i Eero Sormunen. "Serendipity as chaos or discovery – exploring the role of personality and sense of coherence". W ISIC: the Information Behaviour Conference. University of Borås, Borås, Sweden, 2020. http://dx.doi.org/10.47989/irisic2001.
Pełny tekst źródłaLuckie, Matthew, i Ben Stasiewicz. "Measuring path MTU discovery behaviour". W the 10th annual conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1879141.1879155.
Pełny tekst źródłaShen, Yun, i Trevor Martin. "Intelligent user search behaviour knowledge discovery". W 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584867.
Pełny tekst źródłaGjoreski, Hristijan, i Daniel Roggen. "Unsupervised online activity discovery using temporal behaviour assumption". W UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123021.3123044.
Pełny tekst źródłaFaruquie, Tanveer A., Subhashis Banerjee i Prem K. Kalra. "Unsupervised Discovery of Activities and Their Temporal Behaviour". W 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2012. http://dx.doi.org/10.1109/avss.2012.79.
Pełny tekst źródłaMartin, J. Antonio, i E. Pimentel Sanchez. "Feature-Based Discovery of Services with Adaptable Behaviour". W 2010 8th IEEE European Conference on Web Services (ECOWS 2010). IEEE, 2010. http://dx.doi.org/10.1109/ecows.2010.22.
Pełny tekst źródłaRaporty organizacyjne na temat "Behaviour discovery"
Brody, Fern, Judith Brink, Anne Koenig, Dan Przybylak i Berenika M. Webster. Library Impact Research Report: Discovery of Published Information by Early-Career Science Faculty. Association of Research Libraries, listopad 2022. http://dx.doi.org/10.29242/report.pitt2022a.
Pełny tekst źródłaMacDonald, D., i B. Lowekamp. NAT Behavior Discovery Using Session Traversal Utilities for NAT (STUN). RFC Editor, maj 2010. http://dx.doi.org/10.17487/rfc5780.
Pełny tekst źródłaMuñoz, Ernesto, Iván Hernández, Francisco González, Nathalie Cely i Iván Prieto. The Discovery of New Export Products in Ecuador. Inter-American Development Bank, czerwiec 2010. http://dx.doi.org/10.18235/0010828.
Pełny tekst źródłaLandolt, Peter, Ezra Dunkelblum, Robert R. Heath i Moshe Kehat. Host Plant Chemical Mediation of Heliothis Reproductive Behavior. United States Department of Agriculture, październik 1992. http://dx.doi.org/10.32747/1992.7568753.bard.
Pełny tekst źródłaBrosh, Arieh, Gordon Carstens, Kristen Johnson, Ariel Shabtay, Joshuah Miron, Yoav Aharoni, Luis Tedeschi i Ilan Halachmi. Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency. United States Department of Agriculture, lipiec 2011. http://dx.doi.org/10.32747/2011.7592644.bard.
Pełny tekst źródłaAsaeda, H., H. Liu i Q. Wu. Tuning the Behavior of the Internet Group Management Protocol (IGMP) and Multicast Listener Discovery (MLD) for Routers in Mobile and Wireless Networks. RFC Editor, maj 2012. http://dx.doi.org/10.17487/rfc6636.
Pełny tekst źródłaPulugurtha, Srinivas S., i Raghuveer Gouribhatla. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology. Mineta Transportation Institute, styczeń 2022. http://dx.doi.org/10.31979/mti.2022.1944.
Pełny tekst źródłaRiley, Mark, i Akis Pipidis. The Mechanical Analogue of the "Backbending" Phenomenon in Nuclear-structure Physics. Florida State University, maj 2008. http://dx.doi.org/10.33009/fsu_physics-backbending.
Pełny tekst źródłaFloyd, Jason, i Daniel Madrzykowski. Analysis of a Near Miss in a Garden Apartment Fire – Georgia 2022. UL's Fire Safety Research Institute, październik 2022. http://dx.doi.org/10.54206/102376/rsfd6862.
Pełny tekst źródłaLeis i Walsh. L51575 Mechanics-Based Analysis of SCC in a Carbonate-Bicarbonate Environment. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), sierpień 1988. http://dx.doi.org/10.55274/r0010306.
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