Our objective in this review was to assess machine learning alternatives to logistic regression, which may accomplish the same goals but with fewer assumptions or greater accuracy.
Now, a study using satellite images and machine learning reveals an alternative: mapping poverty from space.
Machine learning techniques provide alternative approaches, such as inducing rules from data, examples or empirical evidence, to model both explicit and IK using structured methods to analyse data [ 34].
Machine learning methods are alternatives to traditional statistical approaches.
Compared with an alternative machine learning regression algorithm, support vector machine regression (SVR) and four other score-based algorithms [A.
The three other VS methods include two similarity-based methods, Tanimoto-based similarity searching and kNN methods, and an alternative machine learning method PNN.
In response to this, the paper evaluates the use of machine learning algorithms, as an alternative to SPARQL, and treats searching as a classification problem.
Commenting in a statement, Uber's Ghahramani argues that current processing hardware is holding back the development of alternative machine learning approaches that he suggests could contribute to "radical leaps forward in machine intelligence".
There is also potential for applying similar machine learning techniques to other alternative asset classes that people trade, reckons Fletcher, such as classic cars, spirits, rare books and even perhaps fine art.
Experimental results show that Jaro Winkler yields the highest effectiveness performance with comparable results to those observed for LRAR, presenting the best alternative machine learning experiments to the user.
