Sentence examples for algorithm adaptation from inspiring English sources

In particular, the three are part of the ALADDIN (algorithm adaptation dissemination and integration) project, which received funding from the U.S. National Science Foundation for matching algorithms developed in academia with potential industrial applications.

The performance of our approaches is compared with the performance of two algorithm adaptation methods (Multi-Label k-NN and Multi-Label C4.5) and five problem transformation methods (Binary Relevance, Classifier Chain, Calibrated Label Ranking with majority voting, the Quick Weighted method for pair-wise multi-label learning and the Label Powerset method).

MLC classification methods can be grouped into: (a) problem transformation methods, and (b) algorithm adaptation methods [25].

It shows the genetic algorithm adaptation in function of the number of iterations for a simulation in short, where the iteration of convergence is 3.

In multi-label classification, the examples are associated with a set of labels Y ⊆ L. Multi-label classification algorithms can be categorized into two different groups [15]: (i) problem transformation methods, and (ii) algorithm adaptation methods.

The algorithm adaptation methods could extend specific learning algorithms to deal with multi-label data directly [ 10].

This cultural context and setting required important adaptations to the evidence-based model we selected from PS2 (13), including algorithm adaptations to accommodate the higher-risk population.

The implementation uses a coevolutionary learning algorithm for adaptation of the agent strategy to the dynamic Application Layer Network environment.

Nurses followed an algorithm of adaptation of cisatracurium posology depending on the TOF with an aim of 0/4.

The performance of this proposal, a Bayesian network for genetic algorithm parameter adaptation (BNGA), is assessed based on the CEC'05 benchmark.

This is an ideal initial algorithm for adaptation, as it has many of the attributes well suited to improving system throughput.