Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

Algorithms based on machine learning and technical indicators are not only better adapted to ... Decision tree: A decision tree is a tree model that is capable of performing complex classification ...

Don't take results from machine learning algorithms at face value. Ask what information isn't available. What subgroups haven't been prioritized? Who is on the research team?

After all, many “traditional” machine learning algorithms have been solving important problems for decades—and they’re still going strong. ... Decision tree. Decision trees (DTs) ...

Machine learning Sometimes it’s too complicated to spell out a decision-making process. A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past ...

The full dataset contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.