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Статті в журналах з теми "Absence of training data"
Böge, M., D. Bulatov, D. Debroize, G. Häufel, and L. Lucks. "EFFICIENT TRAINING DATA GENERATION BY CLUSTERING-BASED CLASSIFICATION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 179–86. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-179-2022.
Повний текст джерелаSpina, Robert J., Timothy E. Meyer, Linda R. Peterson, Dennis T. Villareal, Morton R. Rinder, and Ali A. Ehsani. "Absence of left ventricular and arterial adaptations to exercise in octogenarians." Journal of Applied Physiology 97, no. 5 (November 2004): 1654–59. http://dx.doi.org/10.1152/japplphysiol.01303.2003.
Повний текст джерелаEhsan, Shah Md Azimul, and Zaki Imam. "Analyzing the Effectiveness of Training Programs of BCS Administration Academy: Prospects and Challenges." Journal of Public Administration and Governance 10, no. 4 (November 11, 2020): 73. http://dx.doi.org/10.5296/jpag.v10i4.17740.
Повний текст джерелаSomadi, Somadi, and Indani Zulfah. "Analisis Human Error Pada Surat Penyerahan Petikemas (SP2) Dan Warehouse Management System (WMS)." Competitive 16, no. 1 (July 27, 2021): 42–51. http://dx.doi.org/10.36618/competitive.v16i1.1175.
Повний текст джерелаHe, Chaoyang, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, and Salman Avestimehr. "SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 6 (June 28, 2022): 6865–73. http://dx.doi.org/10.1609/aaai.v36i6.20643.
Повний текст джерелаKulikovsvkikh, I. M. "Reducing computational costs in deep learning on almost linearly separable training data." Computer Optics 44, no. 2 (April 2020): 282–89. http://dx.doi.org/10.18287/2412-6179-co-645.
Повний текст джерелаChen, Mantun, Yongjun Wang, Zhiquan Qin, and Xiatian Zhu. "Few-Shot Website Fingerprinting Attack with Data Augmentation." Security and Communication Networks 2021 (September 15, 2021): 1–13. http://dx.doi.org/10.1155/2021/2840289.
Повний текст джерелаGoldsmith, Rochelle L., David K. Spierer, Lana Tsao, Richard Stein, and Stuart D. Katz. "THE ABSENCE OF GAS EXCHANGE DATA RESULTS IN THE OVERESTIMATION OF THE TRAINING ZONE IN CHF PATIENTS 12." Journal of Cardiopulmonary Rehabilitation 18, no. 5 (September 1998): 349. http://dx.doi.org/10.1097/00008483-199809000-00016.
Повний текст джерелаBochkova, E. V., E. A. Avdeeva, and A. V. Usol’tsev. "IS DATA SCIENTIST A PROFESSION OF THE PRESENT OR THE FUTURE?" Scientific Review: Theory and Practice 10, no. 7 (July 30, 2020): 1399–407. http://dx.doi.org/10.35679/2226-0226-2020-10-7-1399-1407.
Повний текст джерелаBouhamed, Omar, Manar Amayri, and Nizar Bouguila. "Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning." Sensors 22, no. 9 (April 21, 2022): 3186. http://dx.doi.org/10.3390/s22093186.
Повний текст джерелаДисертації з теми "Absence of training data"
Boxwell, Stephen Arthur. "A CCG-Based Method for Training a Semantic Role Labeler in the Absence of Explicit Syntactic Training Data." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322594816.
Повний текст джерелаWhaley, Steven R. J. "Bayesian analysis of sickness absence data." Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274884.
Повний текст джерелаYousefi, Sepehr. "Credit Risk Management in Absence of Financial and Market Data." Thesis, KTH, Matematisk statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188800.
Повний текст джерелаKreditriskhantering är den enskilt viktigaste delen i banker och finansiella instituts säkerhetsåtgärder mot nedsidor i deras investeringar. En påtaglig svårighet inom ämnet är modelleringen av simultana konkurser. Globalisering ökar antalet parametrar som påverkar samhällsekonomin, vilket i sin tur försvårar etablering av tillförlitliga matematiska modeller. Den prekära situationen förvärras av det faktum att analytiker genomgående saknar tillräcklig data. Konkurskorrelation är allt som oftast kalibrerad med hjälp av information från årsrapporter eller marknaden. Dessvärre existerar det omständigheter där sådana typer av data är otillgängliga eller otillförlitliga. Samma problematik skapar även svårigheter i skattningen av sannolikheten till konkurs. Uppgifter såsom frekvensen av insolventa företag eller förändringar i kreditbetyg uppdateras i regel årligen, och historisk data täcker i bästa fall 20-25 år. Syftet med detta examensarbete är att ge ett övergripande ramverk för kreditriskhantering i avsaknad av finansiell information och marknadsdata. Detta innefattar att estimera vilken påverkan fluktueringar i makroekonomin har på sannolikheten för konkurs, modellera korrelerade konkurser samt sammanfatta ett ramverk för beräkning av osäkerheten i den estimerade förlustdistributionen. Den första delen av examensarbetet specificerar den så kallade entropy modellen. Denna skattar påverkan av makroekonomin på sannolikheterna för konkurs och ämnar att överträffa statistiska standardmodeller vid små datamängder. Den andra delen specificerar CIMDO, ett ramverk för beräkning av konkurskorrelation när marknads- och företagsdata saknas. Den sista delen framlägger ett ramverk för riskanalys av förlustdistributionen. Det visas att entropy modellen reducerar variansen i regressionskoefficienter men till kostnad av att försämra dess bias. Vidare är det en signifikant skillnad mellan student’s t CIMDO och t-Copula. Det förefaller som om den förstnämnda reducerar osäkerheten i beräkningarna, men inte till den grad att uppenbara slutsatser kan dras.
Nilsson, Maria. "Differences and similarities in work absence behavior : - empirical evidence from micro data." Doctoral thesis, Växjö universitet, Ekonomihögskolan, EHV, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-626.
Повний текст джерелаJohnston, Cristin D. "Observation training evaluating a procedure for generating self-rules in the absence of reinforcement /." abstract and full text PDF (UNR users only), 2008. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3316373.
Повний текст джерелаMuhammad, Azhar Ranjha, and Adnan Ghalib Ahmad. "Data Analysis and Graph Presentation of Team Training Data." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66998.
Повний текст джерелаC3Fire
Powers, Richard. "Track-loss detection in the absence of truth data for target tracking in clutter." Connect to online resource, 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:3273736.
Повний текст джерелаGoulette, Dana E. "Training assessment and modeling subjective data encapsulation for the National Training Center." Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/9084.
Повний текст джерелаThe National Training Center (NTC) located at Fort Irwin, California performs the critical Army mission of preparing battalion task forces and brigade staffs for combat. The NTC provides a unique opportunity to assess training proficiency. To assist in the training assessment of rotating units, the Army has spent millions of dollars on a state of the art instrumentation system that transmits objective data from all player vehicles and stores the information in a database. Currently, no subjective observer-controller (O/C) observations of training are stored in the database. The primary emphasis of this research is to develop a training assessment system and model subjective data encapsulation to enhance training performance analysis. The assessment system is designed to be incorporated into a relational database that will allow analysis of various measures of performance that provide input for platoon through brigade level After Action Reviews (AAR). Additionally, the database will support methods for simple data manipulation for the purpose of conducting post-rotation analysis and the identification of trends
Chang, Eric I.-Chao. "Improving wordspotting performance with limited training data." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/38056.
Повний текст джерелаIncludes bibliographical references (leaves 149-155).
by Eric I-Chao Chang.
Ph.D.
Georgsson, Adam, and Olof Christensson. "Visualization of training data reportedby football players." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16694.
Повний текст джерелаКниги з теми "Absence of training data"
Chakrabarty, Dalia. Learning in the Absence of Training Data. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9.
Повний текст джерелаServices, CHT Training, ed. Managing absence: Training pack. Liverpool: CHT Training Solutions, 1997.
Знайти повний текст джерелаCentral Council for Education and Training in Social Work. Data on training. London: The Council, 1989.
Знайти повний текст джерелаCentral Council for Education and Training in Social Work. Data on training. London: The Council, 1986.
Знайти повний текст джерелаRowland, John L. Data systems technician training series. [Pensacola, Fla.]: The Activity, 1992.
Знайти повний текст джерелаMaynard, Robert M. Data systems technician training series. [Pensacola, Fla.]: The Activity, 1996.
Знайти повний текст джерелаOccupational projections and training data. 2nd ed. Washington, D.C: U.S. Dept. of Labor. Bureau of Labor Statistics, 2004.
Знайти повний текст джерелаInc, PCI. Training data set: Version 5.3. Richmond Hill, Ont: PCI, 1994.
Знайти повний текст джерелаMaynard, Robert M. Data systems technician training series. [Pensacola, Fla.]: The Activity, 1996.
Знайти повний текст джерелаMaynard, Robert M. Data systems technician training series. [Pensacola, Fla.]: The Activity, 1994.
Знайти повний текст джерелаЧастини книг з теми "Absence of training data"
Chakrabarty, Dalia. "Bespoke Learning to Generate Originally-Absent Training Data." In Learning in the Absence of Training Data, 1–22. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9_1.
Повний текст джерелаChakrabarty, Dalia. "Learning the Temporally-Evolving Evolution-Driving Function of a Dynamical System, to Forecast Future States: Forecasting New COVID19 Infection Numbers." In Learning in the Absence of Training Data, 23–100. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9_2.
Повний текст джерелаChakrabarty, Dalia. "Potential to Density via Poisson Equation: Application to Bespoke Learning of Gravitational Mass Density in Real Galaxy." In Learning in the Absence of Training Data, 101–51. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9_3.
Повний текст джерелаChakrabarty, Dalia. "Bespoke Learning of Disease Progression Using Inter-Network Distance: Application to Haematology-Oncology: Joint Work with Dr. Kangrui Wang, Dr. Akash Bhojgaria and Dr. Joydeep Chakrabartty." In Learning in the Absence of Training Data, 189–217. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9_5.
Повний текст джерелаChakrabarty, Dalia. "Bespoke Learning in Static Systems: Application to Learning Sub-surface Material Density Function." In Learning in the Absence of Training Data, 153–88. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31011-9_4.
Повний текст джерелаSpire, Cedric, and Dalia Chakrabarty. "Learning in the Absence of Training Data—A Galactic Application." In Springer Proceedings in Mathematics & Statistics, 43–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30611-3_5.
Повний текст джерелаKhan, Shehroz S., Michelle E. Karg, Dana Kulić, and Jesse Hoey. "X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data." In Ambient Assisted Living and Daily Activities, 1–9. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13105-4_1.
Повний текст джерелаBacci, Silvia, Bruno Bertaccini, Riccardo Bruni, Federico Crescenzi, and Beatrice Donati. "A structural equation model to measure logical competences." In Proceedings e report, 37–41. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.08.
Повний текст джерелаBertaccini, Bruno, Riccardo Bruni, Federico Crescenzi, and Beatrice Donati. "Measuring logical competences and soft skills when enrolling in a university degree course." In Proceedings e report, 41–46. Florence: Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-304-8.09.
Повний текст джерелаUther, William, Dunja Mladenić, Massimiliano Ciaramita, Bettina Berendt, Aleksander Kołcz, Marko Grobelnik, Dunja Mladenić, et al. "Training Data." In Encyclopedia of Machine Learning, 989. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_840.
Повний текст джерелаТези доповідей конференцій з теми "Absence of training data"
Cagliero, Luca, and Moreno La Quatra. "Automatic slides generation in the absence of training data." In 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2021. http://dx.doi.org/10.1109/compsac51774.2021.00025.
Повний текст джерелаChakraborty, Anirban, Kripabandhu Ghosh, and Swapan Kumar Parui. "Retrieval from Noisy E-Discovery Corpus in the Absence of Training Data." In SIGIR '15: The 38th International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2766462.2767828.
Повний текст джерелаShi, Kang. "A method for generating various style Chinese fonts in the absence of training data (S)." In The 33rd International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc., 2021. http://dx.doi.org/10.18293/seke2021-114.
Повний текст джерелаSrivastava, Jayesh, and L. H. Shu. "The Affordance of Absence." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35285.
Повний текст джерелаBarkas, Dimitrios A., Konstantinos Kalkanis, George Ch Ioannidis, Stavros D. Kaminaris, and Constantinos S. Psomopoulos. "Simulated Partial Discharge Harmonic Data generation for Neural Network Training in the Absence of real measurements: A first Approach." In 2022 Panhellenic Conference on Electronics & Telecommunications (PACET). IEEE, 2022. http://dx.doi.org/10.1109/pacet56979.2022.9976352.
Повний текст джерелаMarhoum, Adil. "Plenary lecture: the teaching of statistics in morocco l’enseignement de la statistique au maroc." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2017. http://dx.doi.org/10.52041/srap.17103.
Повний текст джерелаJain, Arjit, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, and Maneesh Singh. "Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning." In 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.2021/105.
Повний текст джерелаSudakov, O. V., and D. V. Dmitriev. "Comparison of G-Means Algorithms and Kohonen Network in Solving Clustering Problems." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-1147-1156.
Повний текст джерелаMao, Xudong, and Qing Li. "Unpaired Multi-Domain Image Generation via Regularized Conditional GANs." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/354.
Повний текст джерелаHassan, Mohd Firdaus Bin, and Philip Bonello. "A Neural Network Identification Technique for a Foil-Air Bearing and its Application to Unbalance Response Analysis." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42190.
Повний текст джерелаЗвіти організацій з теми "Absence of training data"
Komba, Aneth, and Richard Shukia. Accountability Relationships in 3Rs Curriculum Reform Implementation: Implication for Pupils’ Acquisition of Literacy and Numeracy Skills in Tanzania’s Primary Schools. Research on Improving Systems of Education (RISE), March 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/065.
Повний текст джерелаHastie, Rachel, and Amy O'Donnell. Responsible Data Management training pack. Oxfam, March 2017. http://dx.doi.org/10.21201/2017.9118.
Повний текст джерелаKemper, Toni, and Jack Briscoe. National Training Center Data Library. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada178947.
Повний текст джерелаDilks, Kelly, Jeffery Miller, Amit Patel, and Jim Cookas. Geospatial Data Computer-Based Training. Fort Belvoir, VA: Defense Technical Information Center, February 2000. http://dx.doi.org/10.21236/ada375198.
Повний текст джерелаMoranville, April, and Donald H. Hewitt. Rating Training Continuum: Baseline Data. Fort Belvoir, VA: Defense Technical Information Center, October 1992. http://dx.doi.org/10.21236/ada257078.
Повний текст джерелаOrekhvo, D. O., and R. V. Khrunichev. Remote training course "data Analysis", training direction 38.03.05 " Business Informatics". OFERNIO, June 2018. http://dx.doi.org/10.12731/ofernio.2018.23676.
Повний текст джерелаJohnson, Carol A., and Michael J. Shadell. Training and Lessons Learned Data Requirements from the National Training Center. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada194327.
Повний текст джерелаTeachout, Mark S., Douglas J. Sego, and J. K. Ford. Extending the Training Efficiency and Effectiveness Methodology (TEEM) with Training Transfer Data. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada303559.
Повний текст джерелаBercos, James, and Richard C. Eakins. Extension of Training Extension Course Cost and Training Effectiveness Analysis Data Collection. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada160367.
Повний текст джерелаWebb, David W. Quantal Response Analysis in the Absence of a Zone of Mixed Results Using Data Augmentation. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada491027.
Повний текст джерела