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Efficient online stream clustering based on fast peeling of boundary micro-cluster
A growing number of applications generate streaming data, making data stream mining a
popular research topic. Classification-based streaming algorithms require pre-training on …
popular research topic. Classification-based streaming algorithms require pre-training on …
Unveiling dynamics changes: Singular spectrum analysis-based method for detecting concept drift in industrial data streams
Industrial data streams frequently experience concept drifts. Current drift detection methods,
focusing on prediction performance or data distribution, often neglect temporal …
focusing on prediction performance or data distribution, often neglect temporal …
CADM: Confusion-Based Learning Framework With Drift Detection and Adaptation for Real-Time Safety Assessment
S Hu, Z Liu, M Li, X He - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Real-time safety assessment (RTSA) of dynamic systems holds substantial implications
across diverse fields, including industrial and electronic applications. However, the …
across diverse fields, including industrial and electronic applications. However, the …
Detection of malicious domains with concept drift using ensemble learning
PH Chiang, SC Tsai - IEEE Transactions on Network and …, 2024 - ieeexplore.ieee.org
In the current landscape of network technology, it is indisputable that the Domain Name
System (DNS) plays a vital role but also encounters significant security challenges. Despite …
System (DNS) plays a vital role but also encounters significant security challenges. Despite …
Supervised Learning with Evolving Tasks and Performance Guarantees
Multiple supervised learning scenarios are composed by a sequence of classification tasks.
For instance, multi-task learning and continual learning aim to learn a sequence of tasks that …
For instance, multi-task learning and continual learning aim to learn a sequence of tasks that …
Enhanced Imitation Learning of Model Predictive Control Through Importance Weighting
The approximation of model predictive control (MPC) algorithms with neural network models
has received significant attention in the power electronics research community, as a …
has received significant attention in the power electronics research community, as a …