Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

ALTON - The Wedge Powered by SIUE announces its June programming lineup designed to empower small businesses, foster community connections, and drive regional economic development. The events ...

Time-dependent prediction model using modified DeepSurv algorithm for dynamic risk assessment of post-operative bone metastases in breast cancer.

This aligns with our approach in Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection, where we explore adaptive techniques to optimize classification ...

With the observation that many genomics kernels are dominated by dynamic programming (DP) algorithms, this paper presents GenDP, a framework of dynamic programming acceleration including DPAx, a DP ...

Attouch, H. and Bolte, J. (2007) On the Convergence of the Proximal Algorithm for Nonsmooth Functions Involving Analytic Features. Mathematical Programming, 116, 5-16.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Learn how to solve the knapsack problem with two common approaches: dynamic programming and greedy methods. Compare their pros and cons and decide which one to use.

Aiming at the problem of “dimension explosion” in solving real-time cooperative voltage regulation models of distribution networks using dynamic programming methods, this study proposes an ADP-based ...