Sentence examples for based on different learning from inspiring English sources

Brown and Braver extended their model introducing individual differences based on different learning capabilities attributed to the ACC [48], [49].

These differences in conflict processing can be evaluated based on different learning modes, i.e. recognition following errorful learning as compared to errorless learning is thought to be conflicting based on the additional interfering material.

Firstly, it processes the clusters based on different learning styles.

Moreover, we show that our result can be generalized to certain other practical variations of the solvers, which are based on different learning schemes and restart policies.

Finally, the two DPDs based on different learning architectures are compared for the validation.

Fig. 7 Comparison of identification accuracy, in terms of a MAP, b MaRR, c TOP10, and d MeanRank, and classification efficiency, in terms of e TNR, f CA, and g ACA, obtained after late fusion based on different learning method combinations on different datasets.

Learning and memory tasks, based on different underlying learning methods, have been administered to pigs and are briefly defined here.

Our results show that the performance of the AODE-based predictor is superior to a number of alternative classifiers based on different machine learning algorithms when their results are compared with a carefully derived data collection of E. coli functional associations.

In this paper, we identified fault prediction algorithms based on different machine learning classifiers and distinct feature selection techniques.

Afterwards, several computational models based on different machine learning algorithms were then reported such as support vector machines (SVM) [12 14], function of degree of disagreement (FDOD) [15], k-NN algorithm [16] and probability approaches [17].

Since most of them do not have a stable model, software fault prediction has been studied in this paper based on different machine learning techniques such as decision trees, decision tables, random forest, neural network, Naïve Bayes and distinctive classifiers of artificial immune systems (AISs) such as artificial immune recognition system, CLONALG and Immunos.