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"MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regu" by Yue Duan, Zhen Zhao et al.

The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlabeled data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom fully explore the usage of low-confidence samples. In this article, we aim to utilize low-confidence samples in a novel way with our proposed mutex-based consistency regularization, namely MutexMatch. Specifically, the high-confidence samples are required to exactly predict “what ...
Canadian Institute For Advanced Research Canadian Institute Advanced Research Data Models Utex Based Consistency Regularization Predictive Models
Source: uow.edu.au

US NAIC Summer 2022 National Meeting Highlights: Collaboration Forum On Algorithmic Bias - Insurance Laws and Products

At the Summer 2022 National Meeting of the National Association of Insurance Commissioners ("NAIC"), the Innovation, Cybersecurity, and Technology (H) Committee and its Big Data and Artificial Intelligence...
Artificial Intelligenceh Working Group National Meeting National Meeting Of The Association Collaboration Forum Spring National Meeting Technologyh Committee
Source: mondaq.com

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"A Non-autoregressive Dynamic Model based Welding Parameter Planning Me" by Zhihu Li, Zhimin Hou et al.

Wire and arc additive manufacturing(WAAM) is a promising method for directly manufacturing parts with complex shapes. However, the accuracy of the existing welding parameter planning methods would dramatically decrease when bead geometry changes dynamically due to the long-term dependence, strong coupling, and hysteresis properties of the WAAM process. To this end, a non-autoregressive(NAR) dynamic model is proposed to predict the bead geometry, and an adaptive model predictive control(aMPC) met...
Adaptation Models On Autoregressive Dynamic Model Predictive Models Process Control Solid Modeling Arying Geometry Beads
Source: uow.edu.au

EPA New Chemicals Program Inspires TSCA Coalition Commentary

The U.S. Environmental Protection Agency announced proposed Toxic Substances Control Act New Chemicals Collaborative Research Program. EPA posted draft document entitled Modernizing the Process and Bringing Innovative Science to Evaluate New Chemicals Under TSCA.
Research Area Organization For Economic Cooperation Refine Chemical Categories Integrated Approach New Approach Methodologies Expand Databases Containing

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