Machine learning, with iterative testing and modeling, therefore provides a powerful approach for rational discovery of aversive volatiles for control of insects for which limited data is available. .

Python 3.14, named after a famous irrational constant, has arrived in preview. Plus new goodness in Cython 3.1, using Python’s structural pattern matching, querying the NanoCube, and more.

The effectiveness of iterative learning often depends on the quality of the partners involved. Historically, these partners have been fellow humans—teachers, peers, mentors.

Radial Basis Function methods for scattered data interpolation and for the numerical solution of PDEs were originally implemented in a global manner. Subsequently, it was realized that the methods ...

The result of a radial basis function applied to two vectors is a single value where smaller values indicate the two vectors are farther apart. For example, if the two vectors passed to an RBF ...

Iterative learning control (ILC) approaches often exhibit poor extrapolation properties with respect to exogenous signals, such as setpoint variations. This brief introduces rational basis functions ...