Sentence examples for both types of algorithms from inspiring English sources

In this work, we propose a distributed graph processing framework called Distributed Partitioned Merge (DPM), which supports both types of algorithms and we compare its performance and resource usage w.r.t.

Both types of algorithms – those with explicit labeling in the training data and those without – can be structured as deep neural networks, which act like a many-layered system in which the results of some transformation of data in one layer serves as the input for a new computation in the next layer.

Both types of algorithms have advantages and inconveniences, and their convergence performance depends on the compromise between the number of iterations and the complexity of each iteration.

The overall aim of both types of algorithms is to use feedback in order to be capable of passing up-to-date and accurate metadata, such as filter drop probabilities, to the next phases in the adaptivity loop.

Even if both types of algorithms (i.e., compensation and coverage optimization) tune the same parameters (e.g., HO margins), in most cases, the changes made by each algorithm will be different, since their objectives are different.

Sometimes, both types of algorithms are also used in combination to perform PPI network analysis.

In this paper, we propose a so-called refinement-based routing protocol that uses dynamic route redirection to provide proactive route selection and maintenance to on-demand routing algorithms so that the benefits of both types of routing algorithms can be combined and their drawbacks minimized.

Finally, a numerical example assesses the effectiveness of both types of optimization algorithm.

It's the combination of different types of algorithms running on a low-power system that makes the system unique.

And that allows for a tremendous amount of flexibility in the types of algorithms you can implement.

Pioneered by Netflix, among others, these types of algorithms get better at their predictions as the customer approves or ignores successive offers.