Sentence examples for machine learning area from inspiring English sources

Deep learning algorithms are the hottest topics in machine learning area lately.

This type of appropriate selection is called optimal design in classic statistical area and active learning in machine learning area.

The issue of learning from label proportions is raising attentions in the machine learning area [9 12].

New advances in the machine learning area, such as deep learning [2], have made the interplay between the optimization methods and machine learning one of the most important aspects of advanced computational science.

With the increasing demand for examining and extracting patterns from massive amounts of data, it is critical to be able to train large models to fulfill the needs that recent advances in the machine learning area create.

In this paper, we focus on the feature weighting problem in a specific machine learning area: multiple-instance learning, and propose maximum margin multiple-instance feature weighting (M3IFW) to seek large classification margins in the weighted feature space.

BSS methods are especially popular in the statistical signal processing and machine learning areas, where the term blind emphasizes that very little information about the sources or the mixing process is known a priori [5].

Solving overlapping classification problems using ANNs has been investigated extensively in the pattern recognition and machine-learning areas (Lovell and Bradley, 1996; Tang et al., 2010; Xiong et al., 2010).

Retail companies will seek to use machine learning in areas such as segmentation, pricing and recommendations and healthcare providers in diagnosis.

As such, the area of machine learning is a popular area of research that can be applied to such heterogeneous sets of data to find patterns for predictive modeling, i.e., training data is used to predict the behavior of the previously unseen test data (Jain 2010).

Competitors will submit their results using Kaggle, and Planet retains ownership rights to the IP, but the plan is to release all resulting data under a Creative Commons share-alike license to help continue to drive large improvements in machine learning in this area over time.