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

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 ...

At the same time, combined with advanced optimization algorithms, such as greedy algorithm, dynamic programming algorithm and other ideas, the calculation process of the existing algorithm is deeply ...

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.

Greedy algorithms and dynamic programming algorithms solve for the optimal solution inside the feasible solution range. These two algorithms can be based on permutation, combination, iteration, or ...

This study examines the use of greedy algorithms, dynamic programming algorithms, and lattice discretization algorithms for solving optimal solutions in practical scientific and engineering ...

The Cure's Robert Smith criticized Ticketmaster's dynamic pricing model, calling it a scam enabled by artists choosing greed over their fans.