Literatura académica sobre el tema "Positive-only data"
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Artículos de revistas sobre el tema "Positive-only data"
Qin, Xiangju, Yang Zhang, Chen Li y Xue Li. "Learning from data streams with only positive and unlabeled data". Journal of Intelligent Information Systems 40, n.º 3 (5 de enero de 2013): 405–30. http://dx.doi.org/10.1007/s10844-012-0231-6.
Texto completoTerada, Yoshikazu, Issei Ogasawara y Ken Nakata. "Classification from only positive and unlabeled functional data". Annals of Applied Statistics 14, n.º 4 (diciembre de 2020): 1724–42. http://dx.doi.org/10.1214/20-aoas1404.
Texto completoBecerra-Bonache, Leonor. "Learning SECp Languages from Only Positive Data". Triangle, n.º 8 (29 de junio de 2018): 1. http://dx.doi.org/10.17345/triangle8.1-18.
Texto completoDaneshpazhouh, Armin y Ashkan Sami. "Semi-Supervised Outlier Detection with Only Positive and Unlabeled Data Based on Fuzzy Clustering". International Journal on Artificial Intelligence Tools 24, n.º 03 (junio de 2015): 1550003. http://dx.doi.org/10.1142/s0218213015500037.
Texto completoTomeo, Paolo, Ignacio Fernández-Tobías, Iván Cantador y Tommaso Di Noia. "Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Suppl. 2 (diciembre de 2017): 57–78. http://dx.doi.org/10.1142/s0218488517400116.
Texto completoLeibowitz, Arleen A. y Katherine Desmond. "Do Only 21% of HIV-Positive Medicaid Enrollees Link to Treatment? Challenges in Interpreting Medicaid Claims Data". Sexually Transmitted Diseases 40, n.º 7 (julio de 2013): 582. http://dx.doi.org/10.1097/01.olq.0000430802.91969.98.
Texto completoCheng, Zhanzhan, Shuigeng Zhou y Jihong Guan. "Computationally predicting protein-RNA interactions using only positive and unlabeled examples". Journal of Bioinformatics and Computational Biology 13, n.º 03 (15 de mayo de 2015): 1541005. http://dx.doi.org/10.1142/s021972001541005x.
Texto completoKamaludin, Hazalila, Hairulnizam Mahdin y Jemal H. Abawajy. "Filtering Redundant Data from RFID Data Streams". Journal of Sensors 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7107914.
Texto completoKOBAYASHI, SATOSHI y TAKASHI YOKOMORI. "FAMILIES OF NONCOUNTING LANGUAGES AND THEIR LEARNABILITY FROM POSITIVE DATA". International Journal of Foundations of Computer Science 07, n.º 04 (diciembre de 1996): 309–27. http://dx.doi.org/10.1142/s0129054196000221.
Texto completoSakai, Tomoya y Nobuyuki Shimizu. "Covariate Shift Adaptation on Learning from Positive and Unlabeled Data". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 4838–45. http://dx.doi.org/10.1609/aaai.v33i01.33014838.
Texto completoTesis sobre el tema "Positive-only data"
Mitchell, Andrew Computer Science & Engineering Faculty of Engineering UNSW. "An approach to boosting from positive-only data". Awarded by:University of New South Wales. Computer Science and Engineering, 2004. http://handle.unsw.edu.au/1959.4/20678.
Texto completoTavares, Lucas Alves. "O envolvimento da proteína adaptadora 1 (AP-1) no mecanismo de regulação negativa do receptor CD4 por Nef de HIV-1". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/17/17136/tde-06012017-113215/.
Texto completoThe Human Immunodeficiency Virus (HIV) is the etiologic agent of Acquired Immunodeficiency Syndrome (AIDS). AIDS is a disease which has a global distribution, and it is estimated that there are currently at least 36.9 million people infected with the virus. During the replication cycle, HIV promotes several changes in the physiology of the host cell to promote their survival and enhance replication. The fast progression of HIV-1 in humans and animal models is closely linked to the function of an accessory protein Nef. Among several actions of Nef, one is the most important is the down-regulation of proteins from the immune response, such as the CD4 receptor. It is known that this action causes CD4 degradation in lysosome, but the molecular mechanisms are still incompletely understood. Nef forms a tripartite complex with the cytosolic tail of the CD4 and adapter protein 2 (AP-2) in clathrin-coated vesicles, inducing CD4 internalization and lysosome degradation. Previous research has demonstrated that CD4 target to lysosomes by Nef involves targeting of this receptor to multivesicular bodies (MVBs) pathway by an atypical mechanism because, although not need charging ubiquitination, depends on the proteins from ESCRTs (Endosomal Sorting Complexes Required for Transport) machinery and the action of Alix, an accessory protein ESCRT machinery. It has been reported that Nef interacts with subunits of AP- 1, AP-2, AP-3 complexes and Nef does not appear to interact with AP-4 and AP-5 subunits. However, the role of Nef interaction with AP-1 or AP-3 in CD4 down-regulation is poorly understood. Furthermore, AP-1, AP-2 and AP-3 are potentially heterogeneous due to the existence of multiple subunits isoforms encoded by different genes. However, there are few studies to demonstrate if the different combinations of APs isoforms are form and if they have distinct functional properties. This study aim to identify and characterize cellular factors involved on CD4 down-modulation induced by Nef from HIV-1. More specifically, this study aimed to characterize the involvement of AP-1 complex in the down-regulation of CD4 by Nef HIV-1 through the functional study of the two isoforms of ?-adaptins, AP-1 subunits. By pull-down technique, we showed that Nef is able to interact with ?2. In addition, our data from immunoblots indicated that ?2- adaptin, not ?1-adaptin, is required in Nef-mediated targeting of CD4 to lysosomes and the ?2 participation in this process is conserved by Nef from different viral strains. Furthermore, by flow cytometry assay, ?2 depletion, but not ?1 depletion, compromises the reduction of surface CD4 levels induced by Nef. Immunofluorescence microscopy analysis also revealed that ?2 depletion impairs the redistribution of CD4 by Nef to juxtanuclear region, resulting in CD4 accumulation in primary endosomes. Knockdown of ?1A, another subunit of AP-1, resulted in decreased cellular levels of ?1 and ?2 and, compromising the efficient CD4 degradation by Nef. Moreover, upon artificially stabilizing ESCRT-I in early endosomes, via overexpression of HRS, internalized CD4 accumulates in enlarged HRS-GFP positive endosomes, where co-localize with ?2. Together, the results indicate that ?2-adaptin is a molecule that is essential for CD4 targeting by Nef to ESCRT/MVB pathway, being an important protein in the endo-lysosomal system. Furthermore, the results indicate that ?-adaptins isoforms not only have different functions, but also seem to compose AP-1 complex with distinct cell functions, and only the AP-1 variant comprising ?2, but not ?1, acts in the CD4 down-regulation induced by Nef. These studies contribute to a better understanding on the molecular mechanisms involved in Nef activities, which may also help to improve the understanding of the HIV pathogenesis and the related syndrome. In addition, this work contributes with the understanding of primordial process regulation on intracellular trafficking of transmembrane proteins.
Mitchell, Andrew R. "An approach to boosting from positive-only data /". 2004. http://www.library.unsw.edu.au/~thesis/adt-NUN/public/adt-NUN20050505.025314/index.html.
Texto completoLibros sobre el tema "Positive-only data"
van Schalkwyk, François, Stefaan G. Verhulst, Gustavo J. Magalhães, Juan Pane y Johanna Walker. The Social Dynamics of Open Data. African Minds, 2017. http://dx.doi.org/10.47622/978-1-928331-56-8.
Texto completoPoddubnyy, Denis y Hildrun Haibel. Treatment: DMARDs. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0021.
Texto completoFalco, Paolo, Henrik Hansen, John Rand, Finn Tarp y Neda Trifković. Good business practices improve productivity in Myanmar’s manufacturing sector: Evidence from two matched employer–employee surveys. 45a ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/983-9.
Texto completoBiernacki, Carolina, Prerna Martin, Pablo H. Goldberg y Moira A. Rynn. Treatments for Pediatric Depression. Oxford University Press, 2015. http://dx.doi.org/10.1093/med:psych/9780199342211.003.0012.
Texto completoHitt, Michael A., Susan E. Jackson, Salvador Carmona, Leonard Bierman, Christina E. Shalley y Douglas Michael Wright, eds. The Oxford Handbook of Strategy Implementation. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780190650230.001.0001.
Texto completoWellman, James, Katie Corcoran y Kate Stockly. High on God. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199827718.001.0001.
Texto completoHonorato, Hercules Guimarães. Relato de uma experiência acadêmica: O "eu" professor-pesquisador - Vol III. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-378-7.
Texto completoJirström, Magnus, Maria Archila Bustos y Sarah Alobo Loison. African Smallholder Farmers on the Move: Farm and Non-Farm Trends for Six Sub-Saharan African Countries, 2002–15. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799283.003.0002.
Texto completoGuerin, Dava, Terry Bivens, Jack E. Davis y Floyd Scholz. The Eagle on My Arm. University Press of Kentucky, 2020. http://dx.doi.org/10.5810/kentucky/9780813180021.001.0001.
Texto completoCapítulos de libros sobre el tema "Positive-only data"
Wang, Xiaoling, Zhen Xu, Chaofeng Sha, Martin Ester y Aoying Zhou. "Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy". En Web-Age Information Management, 668–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14246-8_64.
Texto completoZuluaga, Maria A., Don Hush, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos y Maciej Orkisz. "Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images". En Lecture Notes in Computer Science, 9–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23626-6_2.
Texto completoVrolijk, Paula y Renske Keizer. "Children’s Living Arrangements After Divorce and the Quality of the Father-Child Relationship; Father Involvement as an Important Underlying Mechanism". En European Studies of Population, 101–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68479-2_6.
Texto completoGenoni, Andreas, Jean Philippe Décieux, Andreas Ette y Nils Witte. "Setting up Probability-Based Online Panels of Migrants with a Push-to-Web Approach: Lessons Learned from the German Emigration and Remigration Panel Study (GERPS)". En IMISCOE Research Series, 289–307. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67498-4_16.
Texto completoNkuba, Michael Robert, Raban Chanda, Gagoitseope Mmopelwa, Akintayo Adedoyin, Margaret Najjingo Mangheni, David Lesolle y Edward Kato. "Indigenous and Scientific Forecasts on Climate Change Perceptions of Arable Farmers: Rwenzori Region, Western Uganda". En African Handbook of Climate Change Adaptation, 1685–703. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_113.
Texto completoLaskar, Pia. "Pink Porn Economy: Genealogies of Transnational LGBTQ Organising". En Pluralistic Struggles in Gender, Sexuality and Coloniality, 177–207. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47432-4_7.
Texto completoNtouros, Vasileios, Nikolaos Kampelis, Martina Senzacqua, Theoni Karlessi, Margarita-Niki Assimakopoulos, Dionysia Kolokotsa y Cristina Cristalli. "Smart Meter Awareness in Italy, Ancona". En Smart and Sustainable Planning for Cities and Regions, 47–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57764-3_4.
Texto completovon Weizsäcker, Carl Christian y Hagen M. Krämer. "Land". En Saving and Investment in the Twenty-First Century, 105–36. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75031-2_5.
Texto completoZimba, Josephine M. y Emma T. Liwenga. "Effects of conservation agriculture on farmers' livelihoods in the face of climate change in Balaka district, Malawi." En Climate change impacts and sustainability: ecosystems of Tanzania, 44–58. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789242966.0044.
Texto completoViswanath, Navin y Rajshekhar Sunderraman. "A Paraconsistent Relational Data Model". En Handbook of Research on Innovations in Database Technologies and Applications, 18–27. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-242-8.ch003.
Texto completoActas de conferencias sobre el tema "Positive-only data"
Elkan, Charles y Keith Noto. "Learning classifiers from only positive and unlabeled data". En the 14th ACM SIGKDD international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1401890.1401920.
Texto completoArjannikov, Tom y George Tzanetakis. "Histogram-Based Asymmetric Relabeling for Learning from Only Positive and Unlabeled Data". En 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2017. http://dx.doi.org/10.1109/icmla.2017.000-8.
Texto completoTomeo, Paolo, Ignacio Fernández-Tobías, Tommaso Di Noia y Iván Cantador. "Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback". En CERI '16: 4th Spanish Conference in Information Retrieval. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2934732.2934745.
Texto completoDaneshpazhouh, Armin y Ashkan Sami. "Semi-supervised outlier detection with only positive and unlabeled data based on fuzzy clustering". En 2013 5th Conference on Information and Knowledge Technology (IKT). IEEE, 2013. http://dx.doi.org/10.1109/ikt.2013.6620091.
Texto completoSu, Guangxin, Weitong Chen y Miao Xu. "Positive-Unlabeled Learning from Imbalanced Data". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/412.
Texto completoShinoda, Kazuhiko, Hirotaka Kaji y Masashi Sugiyama. "Binary Classification from Positive Data with Skewed Confidence". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/460.
Texto completoZhang, Chuang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang y Jian Yang. "Online Positive and Unlabeled Learning". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/311.
Texto completoYang, Pengyi, Wei Liu y Jean Yang. "Positive unlabeled learning via wrapper-based adaptive sampling". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/457.
Texto completoViola, Rémi, Rémi Emonet, Amaury Habrard, Guillaume Metzler y Marc Sebban. "Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/298.
Texto completoXu, Yixing, Chang Xu, Chao Xu y Dacheng Tao. "Multi-Positive and Unlabeled Learning". En Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/444.
Texto completoInformes sobre el tema "Positive-only data"
Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel y Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), marzo de 2021. http://dx.doi.org/10.23970/ahrqepctb38.
Texto completoCarlsson, Mikael, Julián Messina y Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, enero de 2021. http://dx.doi.org/10.18235/0003002.
Texto completoCarlsson, Mikael, Julián Messina y Oskar Nordström Skans. Firm-Level Shocks and Labor Flows. Inter-American Development Bank, enero de 2021. http://dx.doi.org/10.18235/0003002.
Texto completoNiconchuk, Michael. Whose Vulnerability? Trauma Recovery in the Reintegration of Former Violent Extremists. RESOLVE Network, junio de 2021. http://dx.doi.org/10.37805/pn2021.16.vedr.
Texto completoSchnabel, Filipina y Danielle Aldridge. Effectiveness of EHR-Depression Screening Among Adult Diabetics in an Urban Primary Care Clinic. University of Tennessee Health Science Center, abril de 2021. http://dx.doi.org/10.21007/con.dnp.2021.0003.
Texto completoMcPhedran, R., K. Patel, B. Toombs, P. Menon, M. Patel, J. Disson, K. Porter, A. John y A. Rayner. Food allergen communication in businesses feasibility trial. Food Standards Agency, marzo de 2021. http://dx.doi.org/10.46756/sci.fsa.tpf160.
Texto completoJorgensen, Frieda, Andre Charlett, Craig Swift, Anais Painset y Nicolae Corcionivoschi. A survey of the levels of Campylobacter spp. contamination and prevalence of selected antimicrobial resistance determinants in fresh whole UK-produced chilled chickens at retail sale (non-major retailers). Food Standards Agency, junio de 2021. http://dx.doi.org/10.46756/sci.fsa.xls618.
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