Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
Many modern systems, such as financial, transportation, and telecommunications systems,
are time-sensitive in the sense that they demand low-latency predictions for real-time …
are time-sensitive in the sense that they demand low-latency predictions for real-time …
Determining Temporal Validity of Data in Stream Learning Under Concept Drift
H Haeri - 2024 - search.proquest.com
In the era of big data, the ability to efficiently manage and analyze continuous data streams
is critical for applications ranging from autonomous navigation systems to financial trading …
is critical for applications ranging from autonomous navigation systems to financial trading …
Iterative Forgetting: A Novel Online Data Stream Regression Method
N Kathiriya - 2023 - search.proquest.com
In today's interconnected world, time-sensitive systems are essential across various
domains, demanding ultra-low latency for real-time decision-making and accurate …
domains, demanding ultra-low latency for real-time decision-making and accurate …