Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Thus k-apex graphs are very different from bounded genus graphs in a sense. In addition, for any fixed c, k, we apply our algorithm to obtain a linear time approximation scheme for weighted TSP, and ...

A new optical fiber sensor model enables accurate tilt angle detection in multiple directions, ideal for industrial, ...

LinOSS combines biological inspiration with state-space modeling, delivering exceptional performance on long sequences ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

However, it is not an easy-to-handle function. For this reason, in this article, we first present a semi-linear approximation of the Marcum Q -function. Our proposed approximation is useful because it ...

Note: The documentation is somewhat lagging behind development and the parings of network features with problem specifications with formulations has not been enumerated. We are working to correct this ...

optimizing inversion in non-linear cases, accounting for measurement redundancy, estimating contributions of random measurement and systematic errors on the retrieval uncertainties, etc. All of these ...

The 2025 IEEE International Conference on Robotics and Automation (ICRA) best paper winners and finalists in the various different categories have been announced. The recipients were revealed during ...