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Artykuły w czasopismach na temat "Knowledge representation"
SRIHARI, SARGUR N., i ZHIGANG XIANG. "SPATIAL KNOWLEDGE REPRESENTATION". International Journal of Pattern Recognition and Artificial Intelligence 03, nr 01 (marzec 1989): 67–84. http://dx.doi.org/10.1142/s0218001489000073.
Pełny tekst źródłaWu, Lianlong, Seewon Choi, Daniel Raggi, Aaron Stockdill, Grecia Garcia Garcia, Fiorenzo Colarusso, Peter C. H. Cheng i Mateja Jamnik. "Generation of Visual Representations for Multi-Modal Mathematical Knowledge". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 21 (24.03.2024): 23850–52. http://dx.doi.org/10.1609/aaai.v38i21.30586.
Pełny tekst źródłaChua, Cecil Eng Huang, Veda C. Storey i Roger H. Chiang. "Knowledge Representation". Journal of Database Management 23, nr 1 (styczeń 2012): 1–30. http://dx.doi.org/10.4018/jdm.2012010101.
Pełny tekst źródłaBottoni, Paolo. "Knowledge Representation". AI Communications 7, nr 3-4 (1994): 234–36. http://dx.doi.org/10.3233/aic-1994-73-409.
Pełny tekst źródłaSham, S. H. R. "Knowledge-representation". Engineering Applications of Artificial Intelligence 6, nr 6 (grudzień 1993): 594–96. http://dx.doi.org/10.1016/0952-1976(93)90058-6.
Pełny tekst źródłaInozemtsev, V. A. "Deductive logic in solving computer knowledge representation". Izvestiya MGTU MAMI 8, nr 1-5 (10.09.2014): 121–26. http://dx.doi.org/10.17816/2074-0530-67477.
Pełny tekst źródłaXu, Guoyan, Qirui Zhang, Du Yu, Sijun Lu i Yuwei Lu. "JKRL: Joint Knowledge Representation Learning of Text Description and Knowledge Graph". Symmetry 15, nr 5 (10.05.2023): 1056. http://dx.doi.org/10.3390/sym15051056.
Pełny tekst źródłaRezayi, Saed. "Learning Better Representations Using Auxiliary Knowledge". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 13 (26.06.2023): 16133–34. http://dx.doi.org/10.1609/aaai.v37i13.26927.
Pełny tekst źródłaWang, Shu, Xueying Zhang, Peng Ye, Mi Du, Yanxu Lu i Haonan Xue. "Geographic Knowledge Graph (GeoKG): A Formalized Geographic Knowledge Representation". ISPRS International Journal of Geo-Information 8, nr 4 (8.04.2019): 184. http://dx.doi.org/10.3390/ijgi8040184.
Pełny tekst źródłaStellan, Ohlsson, i Antonija Mitrovic. "Constraint-based knowledge representation for individualized instruction". Computer Science and Information Systems 3, nr 1 (2006): 1–22. http://dx.doi.org/10.2298/csis0601001s.
Pełny tekst źródłaRozprawy doktorskie na temat "Knowledge representation"
Brockmans, Sara. "Metamodel-based Knowledge Representation". [S.l. : s.n.], 2007. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000007322.
Pełny tekst źródłaSchlobach, Klaus Stefan. "Knowledge discovery in hybrid knowledge representation systems". Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272023.
Pełny tekst źródłaau, skhor@iinet net, i Sebastian Wankun Khor. "A Fuzzy Knowledge Map Framework for Knowledge Representation". Murdoch University, 2007. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070822.32701.
Pełny tekst źródłaKhor, Sebastian W. "A fuzzy knowledge map framework for knowledge representation /". Access via Murdoch University Digital Theses Project, 2006. http://wwwlib.murdoch.edu.au/adt/browse/view/adt-MU20070822.32701.
Pełny tekst źródłaKhor, Sebastian Wankun. "A fuzzy knowledge map framework for knowledge representation". Thesis, Khor, Sebastian Wankun (2007) A fuzzy knowledge map framework for knowledge representation. PhD thesis, Murdoch University, 2007. https://researchrepository.murdoch.edu.au/id/eprint/129/.
Pełny tekst źródłaKhor, Sebastian Wankun. "A fuzzy knowledge map framework for knowledge representation". Khor, Sebastian Wankun (2007) A fuzzy knowledge map framework for knowledge representation. PhD thesis, Murdoch University, 2007. http://researchrepository.murdoch.edu.au/129/.
Pełny tekst źródłaDASH, Achyutananda. "KĀRAKA-TEHORY FOR KNOWLEDGE REPRESENTATION". 名古屋大学印度哲学研究室 (Department of Indian Philosophy, University of Nagoya), 1992. http://hdl.handle.net/2237/19175.
Pełny tekst źródłaSukkarieh, Jana Zuheir. "Natural language for knowledge representation". Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620452.
Pełny tekst źródła何淑瑩 i Shuk-ying Ho. "Knowledge representation with genetic algorithms". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222638.
Pełny tekst źródłaKachintseva, Dina (Dina D. ). "Semantic knowledge representation and analysis". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76983.
Pełny tekst źródłaCataloged from PDF version of thesis.
Includes bibliographical references (p. 103).
Natural language is the means through which humans convey meaning to each other - each word or phrase is a label, or name, for an internal representation of a concept. This internal representation is built up from repeated exposure to particular examples, or instances, of a concept. The way in which we learn that a particular entity in our environment is a "bird" comes from seeing countless examples of different kinds of birds. and combining these experiences to form a menial representation of the concept. Consequently, each individual's understanding of a concept is slightly different, depending on their experiences. A person living in a place where the predominant types of birds are ostriches and emus will have a different representation birds than a person who predominantly sees penguins, even if the two people speak the same language. This thesis presents a semantic knowledge representation that incorporates this fuzziness and context-dependence of concepts. In particular, this thesis provides several algorithms for learning the meaning behind text by using a dataset of experiences to build up an internal representation of the underlying concepts. Furthermore, several methods are proposed for learning new concepts by discovering patterns in the dataset and using them to compile representations for unnamed ideas. Essentially, these methods learn new concepts without knowing the particular label - or word - used to refer to them. Words are not the only way in which experiences can be described - numbers can often communicate a situation more precisely than words. In fact, many qualitative concepts can be characterized using a set of numeric values. For instance, the qualitative concepts of "young" or "strong" can be characterized using a range of ages or strengths that are equally context-specific and fuzzy. A young adult corresponds to a different range of ages from a young child or a young puppy. By examining the sorts of numeric values that are associated with a particular word in a given context, a person can build up an understanding of the concept. This thesis presents algorithms that use a combination of qualitative and numeric data to learn the meanings of concepts. Ultimately, this thesis demonstrates that this combination of qualitative and quantitative data enables more accurate and precise learning of concepts.
by Dina Kachintseva.
M.Eng.
Książki na temat "Knowledge representation"
Knowledge representation. Mahwah, NJ: L. Erlbaum, 1999.
Znajdź pełny tekst źródła1949-, Brachman Ronald J., Levesque Hector J. 1951- i Reiter Ray, red. Knowledge representation. Cambridge, Mass: MIT Press, 1992.
Znajdź pełny tekst źródła1949-, Brachman Ronald J., Levesque Hector J. 1951- i Reiter Raymond, red. Knowledge representation. Amsterdam: Elsevier, 1991.
Znajdź pełny tekst źródłaMendes, Emilia. Practitioner's Knowledge Representation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54157-5.
Pełny tekst źródłaKnowledge and representation. Stanford, Calif: CSLI Publications, 2011.
Znajdź pełny tekst źródłaNewen, Albert, i Eva-Maria Jung. Knowledge and representation. Stanford, Calif: CSLI Publ., 2011.
Znajdź pełny tekst źródłaWay, Eileen Cornell. Knowledge Representation and Metaphor. Dordrecht: Springer Netherlands, 1991.
Znajdź pełny tekst źródłaLarrazabal, Jesús M., i Luis A. Pérez Miranda, red. Language, Knowledge, and Representation. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-1-4020-2783-3.
Pełny tekst źródłaWay, Eileen Cornell. Knowledge Representation and Metaphor. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7941-4.
Pełny tekst źródłaBergman, Michael K. A Knowledge Representation Practionary. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98092-8.
Pełny tekst źródłaCzęści książek na temat "Knowledge representation"
Grzymala-Busse, Jerzy W. "Knowledge Representation". W Managing Uncertainty in Expert Systems, 13–42. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3982-7_2.
Pełny tekst źródłaSikos, Leslie F. "Knowledge Representation". W Mastering Structured Data on the Semantic Web, 13–57. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1049-9_2.
Pełny tekst źródłaGoertzel, Ben, Matthew Iklé, Izabela Freire Goertzel i Ari Heljakka. "Knowledge Representation". W Probabilistic Logic Networks, 1–17. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76872-4_2.
Pełny tekst źródłaSagerer, Gerhard, i Heinrich Niemann. "Knowledge Representation". W Semantic Networks for Understanding Scenes, 77–166. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-1913-7_3.
Pełny tekst źródłaGao, Zhipeng. "Knowledge Representation". W Encyclopedia of Critical Psychology, 1035–39. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-5583-7_683.
Pełny tekst źródłaPau, Louis F., i Claudio Gianotti. "Knowledge Representation". W Economic and Financial Knowledge-Based Processing, 47–122. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76002-0_5.
Pełny tekst źródłaPirnay-Dummer, Pablo, Dirk Ifenthaler i Norbert M. Seel. "Knowledge Representation". W Encyclopedia of the Sciences of Learning, 1689–92. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_875.
Pełny tekst źródłaShanahan, James G. "Knowledge Representation". W Soft Computing for Knowledge Discovery, 23–34. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4335-0_2.
Pełny tekst źródłaJakus, Grega, Veljko Milutinović, Sanida Omerović i Sašo Tomažič. "Knowledge Representation". W Concepts, Ontologies, and Knowledge Representation, 47–62. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7822-5_4.
Pełny tekst źródłaPawlak, Zdzisław. "Knowledge Representation". W Rough Sets, 51–67. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3534-4_5.
Pełny tekst źródłaStreszczenia konferencji na temat "Knowledge representation"
Xie, Ruobing, Zhiyuan Liu, Huanbo Luan i Maosong Sun. "Image-embodied Knowledge Representation Learning". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/438.
Pełny tekst źródłaDayal, Surendra, Michael Harmer, Peter Johnson i David Mead. "Beyond knowledge representation". W the fourth international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/158976.158997.
Pełny tekst źródłaYan, Rong, Ailing Tang i Ziyi Zhang. "Increasing Representative Ability for Topic Representation". W The 34th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc., 2022. http://dx.doi.org/10.18293/seke2022-052.
Pełny tekst źródłaChambers, Terrence L., i Alan R. Parkinson. "Knowledge Representation and Conversion for Hybrid Expert Systems". W ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0002.
Pełny tekst źródłaWaldon, S., i A. Meystel. "Multiresolutional spatial knowledge representation". W the first international conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/55674.55732.
Pełny tekst źródłaNakagawa, Elisa Yumi, i José Carlos Maldonado. "Reference architecture knowledge representation". W the 3rd international workshop. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1370062.1370077.
Pełny tekst źródłaWang, Jun, i Qingzhi Meng. "Knowledge Representation for Knowledge-based Generative CAPP". W 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAM 2008 Workshop). IEEE, 2008. http://dx.doi.org/10.1109/kamw.2008.4810663.
Pełny tekst źródłaKusuma, Selvia Ferdiana, Mohammad Farid Naufal i Rifda Tarimi Octavia. "Knowledge Representation on Pharmacotherapy Using Knowledge Ontology". W 2023 International Electronics Symposium (IES). IEEE, 2023. http://dx.doi.org/10.1109/ies59143.2023.10242595.
Pełny tekst źródłaAli, Amjad, i Mohammad Abid Khan. "Selecting predicate logic for knowledge representation by comparative study of knowledge representation schemes". W 2009 International Conference on Emerging Technologies (ICET). IEEE, 2009. http://dx.doi.org/10.1109/icet.2009.5353207.
Pełny tekst źródłaLei, Yan, Wang Xinying i Dong Junlei. "A power grid knowledge representation using agent-based knowledge representation in pervasive computing". W 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477652.
Pełny tekst źródłaRaporty organizacyjne na temat "Knowledge representation"
McGregor, Robert, i John Yen. The Knowledge Representation Project. Fort Belvoir, VA: Defense Technical Information Center, lipiec 1989. http://dx.doi.org/10.21236/ada211288.
Pełny tekst źródłaMcCarthy, John, i Carolyn Talcott. Basic Research in Knowledge Representation. Fort Belvoir, VA: Defense Technical Information Center, maj 1998. http://dx.doi.org/10.21236/ada344511.
Pełny tekst źródłaSwartout, Bill, i Yolanda Gil. Flexible Knowledge Acquisition Through Explicit Representation of Knowledge Roles. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1996. http://dx.doi.org/10.21236/ada459767.
Pełny tekst źródłaOssorio, P. G., i L. S. Schneider. Knowledge Representation for C(3)I. Fort Belvoir, VA: Defense Technical Information Center, maj 1988. http://dx.doi.org/10.21236/ada203710.
Pełny tekst źródłaMoore, Robert C. Knowledge Representation and Natural-Language Semantics. Fort Belvoir, VA: Defense Technical Information Center, listopad 1986. http://dx.doi.org/10.21236/ada181422.
Pełny tekst źródłaGiuse, Dario. KR: An Efficient Knowledge Representation System. Fort Belvoir, VA: Defense Technical Information Center, październik 1987. http://dx.doi.org/10.21236/ada187705.
Pełny tekst źródłaKoller, Daphne. Knowledge Representation for an Uncertain World. Fort Belvoir, VA: Defense Technical Information Center, sierpień 1997. http://dx.doi.org/10.21236/ada328598.
Pełny tekst źródłaNesbitt, Peter A., Tom Anderson, Jonathan K. Alt, David Ohmen, Kyle Quinnell i Mario Torres. Knowledge Representation for Decision Making Agents. Fort Belvoir, VA: Defense Technical Information Center, lipiec 2013. http://dx.doi.org/10.21236/ada589932.
Pełny tekst źródłaMoore, Robert C. Knowledge Representation and Natural-Language Semantics. Fort Belvoir, VA: Defense Technical Information Center, sierpień 1985. http://dx.doi.org/10.21236/ada162389.
Pełny tekst źródłaMutter, Sharon A., Merryanna L. Swartz, Joseph Psotka, Daria C. Sneed i Jocelyn O. Turner. Changes in Knowledge Representation with Increasing Expertise. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1988. http://dx.doi.org/10.21236/ada203716.
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