Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Time series and spatial modelling"'
Incorporating neighbourhood features in RNNs for popularity forecasting for emerging research fields
Autor:
Chi, Yan Kin
The accurate modelling and forecasting of the popularity of emerging fields can benefit researchers by allocating resources and efforts on promising research directions. While existing forecasting approaches enjoy various levels of success, most suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c03e6af5d10cf261f0aba88a1fb03ca4
Autor:
MUNOZ, ROBERTO NICOLAS
Many natural systems are difficult to predict because of how their behaviour in the past influences how they behave in the future. This is referred to as memory. These complex systems come in all shapes and sizes ranging from weather patterns, the si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::187aa640afb3649a2858630e2a05742a
Autor:
DEMPSTER, ANGUS HUGH
Time series classification is a specialised area of machine learning focused on understanding and exploiting dynamic processes such as environmental, patient, and equipment monitoring, and financial markets. However, many of the most accurate methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7d0823bd867c2248892962e4316b482
Dissertation/ Thesis
Autor:
Boming Ning (18414465)
Statistical arbitrage is a prevalent trading strategy which takes advantage of mean reverse property of spreads constructed from pairs or portfolios of assets. Utilizing statistical models and algorithms, statistical arbitrage exploits and capitalize