Unsupervised feature selection is challenging in machine learning, pattern recognition, and data mining. The crucial difficulty is to learn a moderate subspace that preserves the intrinsic structure ...

(3) They adaptively learn the graph in the original or embedding space. Thus, the learned graph cannot characterize the data’s cluster structure. To solve these limitations, we present a novel ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

Mayank Kumar is the Founding AI Engineer at DeepTempo, where he leads the design and development of the company’s ...

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Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Sharon Killebrew has agreed to plead guilty and testify against an alleged co-conspirator after $1 million was missing from Early Learning Neighborhood Collaborative.

Some studies containing instructions in white text or small font — visible only to machines — will be withdrawn from preprint ...

Researchers have developed a self-tuning AI framework that dynamically filters noisy graph data to boost reliability and accuracy across industries ...

A group of leading tech companies is teaming up with two teachers’ unions to train 400,000 kindergarten through 12th grade teachers in artificial intelligence over the next five years.