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A Group Sparsity Leaky ReLU Neural Network Training Algorithm using an Inexact Augmented Lagrangian Approach

by instadatahelp | Aug 30, 2023 | AI Blogs

An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity Authors: Wei Liu, Xin Liu, Xiaojun Chen; Journal: 24(212):1−43, 2023. Abstract The use of leaky ReLU networks with a group sparse regularization term has become...
User Neck Muscle Contraction Modeling and Prediction

User Neck Muscle Contraction Modeling and Prediction

by instadatahelp | Aug 30, 2023 | AI Blogs

arXivLabs is a platform that enables collaborators to create and share new features on our website. We welcome both individuals and organizations who embrace our core values of openness, community, excellence, and user data privacy. We are dedicated to working with...

The Utilization of Successor Representation for Temporal Abstraction in Reinforcement Learning

by instadatahelp | Aug 30, 2023 | AI Blogs

Temporal Abstraction in Reinforcement Learning with the Successor Representation Authors: Marlos C. Machado, Andre Barreto, Doina Precup, Michael Bowling; Volume 24, Issue 80, Pages 1-69, 2023. Abstract Intelligence often involves reasoning at multiple levels of...
User Neck Muscle Contraction Modeling and Prediction

Addressing Imbalanced Classification for Diverse Minorities (arXiv:2308.14838v1 [cs.LG])

by instadatahelp | Aug 30, 2023 | AI Blogs

In various real-world applications, imbalanced datasets pose significant challenges when training classifiers. This issue becomes even more difficult when working with large datasets. To address this problem, over-sampling techniques have been developed to interpolate...

Applications of Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent Directed Acyclic Graphs

by instadatahelp | Aug 30, 2023 | AI Blogs

Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz; 24(213):1−45, 2023. Abstract Counting and sampling directed acyclic graphs from a Markov equivalence class are essential...
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