The phrase "a combined algorithm" is correct and usable in written English.
It can be used when referring to an algorithm that integrates multiple methods or processes to achieve a specific outcome.
Example: "The researchers developed a combined algorithm that utilizes both machine learning and statistical analysis to improve prediction accuracy."
Alternatives: "an integrated algorithm" or "a composite algorithm".
Such a combined algorithm has the capability of accurately estimating the entire state of the process even when some model parameters are uncertain.
In doing so we design a combined algorithm which acts like a high-order explicit scheme when Courant numbers are small enough to allow explicit method (which is usually the case throughout the entire modeling domain except just few "hot spots"), while at the same time has the ability to adjust itself toward implicit scheme should it became necessary to avoid stability limitations.
Thus, a combined algorithm with genetic algorithm (GA) and Integer programming (IP) calculations are designed to solve this program.
After acquisition, the images were reconstructed by a combined algorithm based on Fourier rebinning (FORE) followed by 2D iterative image reconstruction using ordered-subset expectation maximization (OSEM).
For presentation of robust tracking method and elimination of algorithm limitations under complicated dynamic condition, in this section with providing object movement information for mean-shift algorithm, a combined algorithm is proposed.
Local moves (within-chains) permit the fine exploration of alternative models, resulting in a combined algorithm that ensures that the chains mix efficiently and do not become trapped in local modes.
Stephen Bay claims that ensemble of multiple classifiers is an effective technique for improving classification accuracy [2] and propose a combining algorithm for nearest neighbor classifiers using multiple feature subsets.
We note also that the combined algorithm obtains a solution with higher log-likelihood than does the otherwise fast l-method.
A pre-processing enhancement algorithm and a combined segmentation algorithm are being proposed to measure the film thickness.
I believe that the future of services enabled by wearables will ultimately be a hybrid model combining algorithm and AI with human-powered networks, harnessing the best of man and machine.
Performance may be further improved by considering all the positions of the prototype filter and by applying a maximum ratio combining algorithm after interpolation.
