The phrase "algorithm falls" is not correct and does not convey a clear meaning in written English.
It may be used in a context discussing the failure or breakdown of an algorithm, but it requires additional context to be meaningful.
Example: "When the data set was too large, the algorithm falls short of delivering accurate results."
Alternatives: "algorithm fails" or "algorithm breaks down".
The old algorithm falls apart.
To summarize, the algorithm falls into the following detailed steps: Compute the F-measure for each feature.
It is obvious that our proposed algorithm falls into the parallel splitting method since all the subproblems (3.1) can be solved in parallel by many existing efficient algorithms.
The candidate elimination algorithm falls into the category of concept learning algorithms where the goal is to predict whether or not a sample is a member of a set [6, 7].
With reference to results, the computational complexity of the algorithm falls between n 2 and nlog (n), i.e., the hybrid genetic algorithm solve a NP-hard problem in a polynomial time computation that is an advantage for the algorithm.
The Multi-Heuristic Smoothing Algorithm for the single case was designed, and we proved that the worst-case competitive ratio of the Multi-Heuristic Smoothing Algorithm falls between 2(1−(1−1/DmandDmax) and 2, where Dmax is the maximum delay window size.
However, too fast convergence will make the algorithm fall into a local minimum.
Spider Monkey Optimization (SMO) technique is most recent member in the family of swarm optimization algorithms.SMO algorithm fall in class of Nature Inspired Algorithm (NIA).
The PFR of our proposed algorithm fall rapidly when SNR increases, and it is much lower than that of the previous algorithms on each single SNR value.
The choice of the kernel function of the algorithm fell on Radial Basis Function (RBF), as shown in previous experiment on the same chemical set [20].
In addition, 91% of the children identified as having CHD by the algorithm fell into only one of the interpretation groups.
