Building adaptive knowledge bases for evolving continual learning models
This section details a new method for adapter-based, task-free continual learning utilizing a policy optimization approach to decide tasks. First,...
Learning
A Two-Phase Learning Approach Integrated with Multi-Source Features for Cloud Service QoS Prediction
Newswise — With the growing popularity of service-oriented computing, a large number of functionally similar cloud services have emerged. Quality...
Combining RWD And Machine Learning To Determine Meaningful Patient Populations
By Monica Nandagopal, senior analyst, Beroe Inc. Clinical trials play a crucial role in driving medical innovation but frequently encounter...
Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
Structured light, with its unique spatial properties, holds immense promise for advancements in communications, precision measurement, and sensing technologies. Purnesh...
Change-point detection with deep learning: A review
Newswise — With the rapid growth of data complexity and volume, traditional statistical methods for change-point detection (CPD) face limitations...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
