Sentence examples for supervised and supervised from inspiring English sources

Introduction Machine learning is an emerging technique that enables computers to learn from data without been explicitly programmed [1], in the medical field has been used for classification and prediction analysis in both supervised and supervised fashion [2].

- Supervised and semi-supervised training – We distinguish between supervised and semi-supervised training.

Different machine learning paradigms are compared to identify the best performing strategies, including unsupervised, semi-supervised and supervised techniques.

We performed comparisons between our approach and several semi-supervised and supervised baselines on both of the labeled and unseen data (so-called blind evaluation).

Unlike [15] in which we did not compare our method with other approaches, this work compares our proposed framework against other semi-supervised and supervised learners.

For the sake of comparison, techniques based on principal component analysis (PCA) and partial least squares (PLS) were considered throughout this study as non-supervised and supervised transformations, respectively.

Results from comparisons between our method and other semi-supervised and supervised approaches on the labeled data demonstrate that our learner is effective in identifying advertisements of high interest to law enforcement.

This is not surprising and in fact lies at the inherent difference between semi-supervised and supervised methods unlabeled examples could make the trained model susceptible to error propagation and thus wrong estimation.

Unsupervised, semi-supervised, and supervised clustering analysis were performed on gene lists essentially as described [17] using Cluster (Version 2.11, http://rana.lbl.gov/EisenSoftware.htm).htm

Figures 3 and 4 show the LC6 neighbourhood matrices for the non-supervised and supervised Kohonen maps, for the period 1975 94 with 7300 input data.

We compared the prediction accuracy of unsupervised, semi-supervised and supervised network inference methods.