Academic literature on the topic 'Learning from Constraints'
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Journal articles on the topic "Learning from Constraints"
Cropper, Andrew, and Rolf Morel. "Learning programs by learning from failures." Machine Learning 110, no. 4 (February 19, 2021): 801–56. http://dx.doi.org/10.1007/s10994-020-05934-z.
Full textChou, Glen, Dmitry Berenson, and Necmiye Ozay. "Learning constraints from demonstrations with grid and parametric representations." International Journal of Robotics Research 40, no. 10-11 (August 13, 2021): 1255–83. http://dx.doi.org/10.1177/02783649211035177.
Full textOkabe, Masayuki, and Seiji Yamada. "Learning Similarity Matrix from Constraints of Relational Neighbors." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 4 (May 20, 2010): 402–7. http://dx.doi.org/10.20965/jaciii.2010.p0402.
Full textMueller, Carl L. "Abstract Constraints for Safe and Robust Robot Learning from Demonstration." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (April 3, 2020): 13728–29. http://dx.doi.org/10.1609/aaai.v34i10.7136.
Full textKato, Tsuyoshi, Wataru Fujibuchi, and Kiyoshi Asai. "Learning Kernels from Distance Constraints." IPSJ Digital Courier 2 (2006): 441–51. http://dx.doi.org/10.2197/ipsjdc.2.441.
Full textFarina, Francesco, Stefano Melacci, Andrea Garulli, and Antonio Giannitrapani. "Asynchronous Distributed Learning From Constraints." IEEE Transactions on Neural Networks and Learning Systems 31, no. 10 (October 2020): 4367–73. http://dx.doi.org/10.1109/tnnls.2019.2947740.
Full textHammer, Rubi, Tomer Hertz, Shaul Hochstein, and Daphna Weinshall. "Category learning from equivalence constraints." Cognitive Processing 10, no. 3 (December 3, 2008): 211–32. http://dx.doi.org/10.1007/s10339-008-0243-x.
Full textArmesto, Leopoldo, João Moura, Vladimir Ivan, Mustafa Suphi Erden, Antonio Sala, and Sethu Vijayakumar. "Constraint-aware learning of policies by demonstration." International Journal of Robotics Research 37, no. 13-14 (July 26, 2018): 1673–89. http://dx.doi.org/10.1177/0278364918784354.
Full textHewing, Lukas, Kim P. Wabersich, Marcel Menner, and Melanie N. Zeilinger. "Learning-Based Model Predictive Control: Toward Safe Learning in Control." Annual Review of Control, Robotics, and Autonomous Systems 3, no. 1 (May 3, 2020): 269–96. http://dx.doi.org/10.1146/annurev-control-090419-075625.
Full textWu, Xintao, and Daniel Barbará. "Learning missing values from summary constraints." ACM SIGKDD Explorations Newsletter 4, no. 1 (June 2002): 21–30. http://dx.doi.org/10.1145/568574.568579.
Full textDissertations / Theses on the topic "Learning from Constraints"
Giannini, Francesco. "On the Integration of Logic and Learning." Doctoral thesis, Università di Siena, 2019. http://hdl.handle.net/11365/1072603.
Full textGritsenko, Artem. "Learning From Demonstrations in Changing Environments: Learning Cost Functions and Constraints for Motion Planning." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/1246.
Full textMAIETTINI, ELISA. "From Constraints to Opportunities: Efficient Object Detection Learning for Humanoid Robots." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1005891.
Full textHoward, Matthew. "Learning control policies from constrained motion." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3972.
Full textAbdukalikova, Anara. "Machine Learning assisted system for the resource-constrained atrial fibrillation detection from short single-lead ECG signals." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71457.
Full textBoyd, Adriane Amelia. "Detecting and Diagnosing Grammatical Errors for Beginning Learners of German: From Learner Corpus Annotation to Constraint Satisfaction Problems." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1325170396.
Full textGraziani, Lisa. "Constrained Affective Computing." Doctoral thesis, 2021. http://hdl.handle.net/2158/1238365.
Full text"Deep Learning Approaches for Inferring Collective Macrostates from Individual Observations in Natural and Artificial Multi-Agent Systems Under Realistic Constraints." Doctoral diss., 2020. http://hdl.handle.net/2286/R.I.63087.
Full textDissertation/Thesis
Doctoral Dissertation Computer Science 2020
Koo, Hahn. "Change in the adult phonological processing system by learning non-adjacent phonotactic constraints from brief experience : an experimental and computational study /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3301171.
Full textSource: Dissertation Abstracts International, Volume: 69-02, Section: A, page: 0591. Advisers: Richard W. Sproat; Jennifer S. Cole. Includes bibliographical references (leaves 132-143) Available on microfilm from Pro Quest Information and Learning.
Zembrzuski, Dariusz. "Reduction Processes in Phonetics-Phonology Interface in Polish: An Analysis from the Perspective of Current Phonological American Theories." Doctoral thesis, 2018. https://depotuw.ceon.pl/handle/item/2687.
Full textBooks on the topic "Learning from Constraints"
Wiltshire, Caroline R. Emergence of the Unmarked in Indian Englishes with Different Substrates. Edited by Markku Filppula, Juhani Klemola, and Devyani Sharma. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199777716.013.007.
Full textOlfert, C. M. M. Practical Truth and Learning from Pleasure. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190281007.003.0005.
Full textButton, Chris, Ludovic Seifert, Jia Yi Chow, Duarte Araújo, and Keith Davids. Dynamics of Skill Acquisition. 2nd ed. Human Kinetics, 2021. http://dx.doi.org/10.5040/9781718214125.
Full textHoudé, Olivier, and Grégoire Borst, eds. The Cambridge Handbook of Cognitive Development. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108399838.
Full textMills, Caitlin, Arianne Herrera-Bennett, Myrthe Faber, and Kalina Christoff. Why the Mind Wanders. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.42.
Full textYu, Angela J. Bayesian Models of Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.025.
Full textAli, Saleem H. Earthly Order. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197640272.001.0001.
Full textHardt, Heidi. Dilemmas in Design. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190672171.003.0003.
Full textTessier, Anne-Michelle. Morpho-phonological Acquisition. Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.7.
Full textWilson, Robyn S., Sarah M. McCaffrey, and Eric Toman. Wildfire Communication and Climate Risk Mitigation. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.570.
Full textBook chapters on the topic "Learning from Constraints"
Gori, Marco. "Learning from Constraints." In Machine Learning and Knowledge Discovery in Databases, 6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23780-5_5.
Full textChou, Glen, Dmitry Berenson, and Necmiye Ozay. "Learning Constraints from Demonstrations." In Springer Proceedings in Advanced Robotics, 228–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44051-0_14.
Full textDe Bie, Tijl, Johan Suykens, and Bart De Moor. "Learning from General Label Constraints." In Lecture Notes in Computer Science, 671–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27868-9_73.
Full textShcherbatyi, Iaroslav, and Bjoern Andres. "Convexification of Learning from Constraints." In Lecture Notes in Computer Science, 79–90. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45886-1_7.
Full textBortolussi, Luca, and Guido Sanguinetti. "Learning and Designing Stochastic Processes from Logical Constraints." In Quantitative Evaluation of Systems, 89–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40196-1_7.
Full textDeligne, Sabine, François Yvon, and Frédéric Bimbot. "Introducing statistical dependencies and structural constraints in variable-length sequence models." In Grammatical Interference: Learning Syntax from Sentences, 156–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0033351.
Full textLi, Changshuo, and Dmitry Berenson. "Learning Object Orientation Constraints and Guiding Constraints for Narrow Passages from One Demonstration." In Springer Proceedings in Advanced Robotics, 197–210. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50115-4_18.
Full textFurtak, Erin Marie, and Kelsey Tayne. "Affordances and Constraints of Learning Progression Designs in Supporting Formative Assessment." In Contributions from Science Education Research, 241–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17219-0_15.
Full textJezdimirovic Ranito, Jovana. "Letting Go of Neoliberal Constraints: Learning from the Regulatory Process." In Regulating US Private Security Contractors, 65–95. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11241-7_3.
Full textFumagalli, Mattia, Tiago Prince Sales, and Giancarlo Guizzardi. "Mind the Gap!: Learning Missing Constraints from Annotated Conceptual Model Simulations." In Lecture Notes in Business Information Processing, 64–79. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91279-6_5.
Full textConference papers on the topic "Learning from Constraints"
Kostinger, M., M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof. "Large scale metric learning from equivalence constraints." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247939.
Full textMoon, In-Ho, and Kevin Harer. "Learning from constraints for formal property checking." In 2009 IEEE International High Level Design Validation and Test Workshop (HLDVT). IEEE, 2009. http://dx.doi.org/10.1109/hldvt.2009.5340176.
Full textHoi, Steven C. H., Rong Jin, and Michael R. Lyu. "Learning nonparametric kernel matrices from pairwise constraints." In the 24th international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1273496.1273542.
Full textYang, Tianbao, Rong Jin, and Anil K. Jain. "Learning kernel combination from noisy pairwise constraints." In 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2012. http://dx.doi.org/10.1109/ssp.2012.6319813.
Full textBaghshah, Mahdieh Soleymani, and Saeed Bagheri Shouraki. "Efficient Kernel Learning from Constraints and Unlabeled Data." In 2010 20th International Conference on Pattern Recognition (ICPR). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.821.
Full textOwens, Trevor, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler, and Trevor Darrell. "Learning object color models from multi-view constraints." In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2011. http://dx.doi.org/10.1109/cvpr.2011.5995705.
Full textMasui, Toshiyuki. "Evolutionary learning of graph layout constraints from examples." In the 7th annual ACM symposium. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/192426.192468.
Full textMohseni-Kabir, Anahita, Charles Rich, and Sonia Chernova. "Learning partial ordering constraints from a single demonstration." In HRI'14: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2559636.2559809.
Full textKyriakis, Panagiotis, Jyotirmoy V. Deshmukh, and Paul Bogdan. "Learning from Demonstrations under Stochastic Temporal Logic Constraints." In 2022 American Control Conference (ACC). IEEE, 2022. http://dx.doi.org/10.23919/acc53348.2022.9867861.
Full textSacca, C., M. Diligenti, M. Gori, and M. Maggini. "Learning to Tag from Logic Constraints in Hyperlinked Environments." In 2011 Tenth International Conference on Machine Learning and Applications (ICMLA 2011). IEEE, 2011. http://dx.doi.org/10.1109/icmla.2011.156.
Full textReports on the topic "Learning from Constraints"
Groh, Micah. Constraints on Neutrino Oscillation Parameters from Neutrinos and Antineutrinos with Machine Learning. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1774291.
Full textLevy, Brian. How Political Contexts Influence Education Systems: Patterns, Constraints, Entry Points. Research on Improving Systems of Education (RISE), December 2022. http://dx.doi.org/10.35489/bsg-rise-2022/pe04.
Full textLevy, Brian. How Political Contexts Influence Education Systems: Patterns, Constraints, Entry Points. Research on Improving Systems of Education (RISE), December 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/122.
Full textDedeken, Chiara, and Kevin Osborne. Repatriating FTFs from Syria: Learning from the Western Balkans. RESOLVE Network, October 2021. http://dx.doi.org/10.37805/pn2021.23.wb.
Full textCarpenter, Marie, and William Lazonick. The Pursuit of Shareholder Value: Cisco’s Transformation from Innovation to Financialization. Institute for New Economic Thinking Working Paper Series, February 2023. http://dx.doi.org/10.36687/inetwp202.
Full textVarina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko, and Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4453.
Full textHwa, Yue-Yi, Sharon Kanthy Lumbanraja, Usha Adelina Riyanto, and Dewi Susanti. The Role of Coherence in Strengthening CommunityAccountability for Remote Schools in Indonesia. Research on Improving Systems of Education (RISE), February 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/090.
Full textEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Full textde Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.
Full textTEACHING-LEARNING BASED OPTIMIZATION METHOD CONSIDERING BUCKLING AND SLENDERNESS RESTRICTION FOR SPACE TRUSSES. The Hong Kong Institute of Steel Construction, March 2022. http://dx.doi.org/10.18057/ijasc.2022.18.1.3.
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