by instadatahelp | Sep 1, 2023 | AI Blogs
PAC-learning for Strategic Classification Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao; 24(192):1−38, 2023. Abstract The recent attention in the study of strategic or adversarial manipulation of testing data to deceive a classifier has led to various research...
by instadatahelp | Sep 1, 2023 | AI Blogs
The complexity and scale of telecommunication networks have led to a growing interest in automated systems for detecting anomalies. However, there has been less focus on classifying anomalies detected on network Key Performance Indicators (KPI), resulting in a lack of...
by instadatahelp | Sep 1, 2023 | AI Blogs
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks Authors: Khurram Javed, Haseeb Shah, Richard S. Sutton, Martha White; 24(256):1−34, 2023. Abstract Constructing states from sequences of observations is a crucial aspect of reinforcement...
by instadatahelp | Sep 1, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features for our website. We welcome individuals and organizations who share our values of openness, community, excellence, and user data privacy. We only collaborate with partners who adhere to...
by instadatahelp | Sep 1, 2023 | AI Blogs
Divide-and-Conquer Fusion Ryan S.Y. Chan, Murray Pollock, Adam M. Johansen, Gareth O. Roberts; 24(193):1−82, 2023. Abstract Combining multiple distributions, referred to as sub-posteriors, into a single distribution proportional to their product is a common challenge....
by instadatahelp | Sep 1, 2023 | AI Blogs
[Submitted on 30 Aug 2023] Download a PDF of the paper titled “A numerical approach for the fractional Laplacian via deep neural networks” by Nicolás Valenzuela Download PDF Abstract: We investigate the solution of the fractional elliptic problem with...
