[HTML][HTML] Empirical study of day-ahead electricity spot-price forecasting: Insights into a novel loss function for training neural networks
Within deregulated economies, large electricity volumes are traded in daily spot markets,
which are highly volatile. To develop profitable trading strategies, all stakeholders must be …
which are highly volatile. To develop profitable trading strategies, all stakeholders must be …
Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes
Objective This study aims to establish an informative dynamic prediction model of treatment
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
outcomes using follow-up records of tuberculosis (TB) patients, which can timely detect …
Cluster-based data filtering for manufacturing big data systems
A manufacturing system collects big and heterogeneous data for tasks such as product
quality modeling and data-driven decision-making. However, as the size of data grows …
quality modeling and data-driven decision-making. However, as the size of data grows …
Contrasting accuracies of single and ensemble models for predicting solar and thermal performances of traditional vaulted roofs
M Ayoub - Solar Energy, 2022 - Elsevier
Traditional curved-roof forms have significant potentials in mitigating undesirable
environmental impacts. Their performance predictions can be grouped into 4 trendlines of …
environmental impacts. Their performance predictions can be grouped into 4 trendlines of …
Time-series representation learning via random time warping
Embodiments of the present invention provide a computer-implemented method for
performing unsupervised time-series feature learning. The method generates a set of …
performing unsupervised time-series feature learning. The method generates a set of …
Representation learning and forecasting for inter-related time series
J Zuo - 2022 - theses.hal.science
Time series is a common data type that has been applied to enormous real-life applications,
such as financial analysis, medical diagnosis, environmental monitoring, astronomical …
such as financial analysis, medical diagnosis, environmental monitoring, astronomical …
Conception automatisée de scénarios d'apprentissage réalistes et variés, pour l'acquisition et la consolidation d'expertise en anesthésie, assistées par le numérique
H Boisaubert - 2022 - theses.hal.science
Ces travaux portent sur la simulation de l'évolution des paramètres physiologiques d'un
patient virtuel au bloc opératoire, en réaction aux actions d'un apprenant et d'une équipe …
patient virtuel au bloc opératoire, en réaction aux actions d'un apprenant et d'une équipe …
[PDF][PDF] Apprentissage de représentations et prédiction pour des séries-temporelles inter-dépendantes
ZUO Jingwei - theses.hal.science
Les séries temporelles sont un type de données endémique dans de nombreux domaines
d'applications, telles que l'analyse financière, la surveillance de l'environnement ou encore …
d'applications, telles que l'analyse financière, la surveillance de l'environnement ou encore …
[引用][C] 쌍스프레드와모방강화학습을이용한트레이딩알고리즘
오영민， 이주홍 - 한국통신학회학술대회논문집, 2022 - dbpia.co.kr
쌍 스프레드와 모방 강화학습을 이용한 트레이딩 알고리즘 - 한국통신학회 학술대회논문집 - 한국
통신학회 : 논문 - DBpia 메뉴 건너뛰기 DBpia 전체 search 검색하기 상세검색 최근 검색 …
통신학회 : 논문 - DBpia 메뉴 건너뛰기 DBpia 전체 search 검색하기 상세검색 최근 검색 …