Sentence examples for Machine learner from inspiring English sources

We can see again the overall trend for the machine learner is still faster than Nelder-Mead, but less pronounced.

In Fig. 3 we plot the machine learner optimization run with P = 16 but now with only 6 parameters.

The archetypal data-renaissance man is mathematician, statistician, computer scientist, machine learner, and engineer all rolled into one.

(Urban 2007) discusses MaLARea (a Machine Learner for Automated Reasoning), a meta-system that also combines inductive and deductive reasoning methods.

A human annotator can provide hints to a machine learner by highlighting contextual “rationales” for each of his or her annotations (Zaidan et al., 2007).

A human annotator provides hints to a machine learner by highlighting contextual "rationales" in support of each of his or her annotations.

We propose using computational teaching algorithms to improve human teaching for machine learners.

We investigate example sequences produced naturally by human teachers and find that humans often do not spontaneously generate optimal teaching sequences for arbitrary machine learners.

Machine learners try to do this on a grander scale, seeing, for example, millions of handwritten digits, and making guesses about which digits looks more like one another, "clustering" them together based on similarity.

The AI-based models used for prediction included single and ensemble models constructed from four well-known machine learners including artificial neural networks (ANNs), support vector regression/machines (SVR/SVMs), classification and regression tree (CART), and linear regression (LR).

However, nine out of ten machine learners managed this, so the overall machine learning quality is substantially better than a minimally useful predictor.