( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Model Compression for Dynamic Forecast Combination.

, , , и . CoRR, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Vítor Schwambach

Vítor Hugo Palma-Rosa

Jorgete Vitorino Clarindo dos Santos

Jorge Cacharrón Cerqueira

Vitor Hugo Schell

 

Другие публикации лиц с тем же именем

Arbitrage of forecasting experts., , , и . Mach. Learn., 108 (6): 913-944 (2019)A case study comparing machine learning with statistical methods for time series forecasting: size matters., , и . J. Intell. Inf. Syst., 59 (2): 415-433 (2022)Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM., , и . PRICAI (1), том 13031 из Lecture Notes in Computer Science, стр. 454-465. Springer, (2021)autoBagging: Learning to Rank Bagging Workflows with Metalearning., , , и . AutoML@PKDD/ECML, том 1998 из CEUR Workshop Proceedings, стр. 21-27. CEUR-WS.org, (2017)Ensembles for Time Series Forecasting. University of Porto, Portugal, (2019)Unsupervised Concept Drift Detection Using a Student-Teacher Approach., , и . DS, том 12323 из Lecture Notes in Computer Science, стр. 190-204. Springer, (2020)VEST: Automatic Feature Engineering for Forecasting., , и . CoRR, (2020)STUDD: a student-teacher method for unsupervised concept drift detection., , , и . Mach. Learn., 112 (11): 4351-4378 (ноября 2023)Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes., , и . Mach. Learn., 112 (11): 4409-4430 (ноября 2023)Evaluating time series forecasting models: an empirical study on performance estimation methods., , и . Mach. Learn., 109 (11): 1997-2028 (2020)