After teaching herself to knit, she invented and cataloged stitch patterns, publishing seven foundational books that sold ...
For much of the nineteenth century, inventors submitted a model with their patent application to the United States Patent Office. The National Museum of American History’s patent model collection ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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The Feather River Recreation and Park District invites the community to a Community Conversation focused on learning more about and discussing FRRPD’s Park Watch, Adopt-a-Park and Adopt-a-Trail ...
This is the official implementation of our paper Scalable Graph Generative Modeling via Substructure Sequences, a self-supervised extension of our ICML'25 work GPM. G2PM addresses the fundamental ...
Abstract: Mobile construction machines are often challenging to operate and require experienced operators to master their use effectively. Training new drivers demands significant time and financial ...
Abstract: We explore the idea of evidence accumulation (EAC) for combining the results of multiple clusterings. First, a clustering ensemble - a set of object partitions, is produced. Given a data set ...
In modern network security, anomaly detection plays a crucial role in identifying malicious activities such as cyberattacks, fraud, and unauthorized access. Traditional rule-based methods are often ...
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