supervised machine learning造句

例句与造句

1. In data science language GAMLSS is about supervised machine learning.
2. These manually classified records are then used to train a supervised machine learning algorithm.
3. A support vector machine can be used for supervised machine learning, in which training set of already classified data is available, or unsupervised machine learning, in which all data given to the system is unclassified.
4. In effect the Ayasdi system consumes the target data set, runs many different unsupervised and supervised machine learning algorithms on the data, automatically finds and ranks best fits, and then applies topological data analysis to find similar groups within the resultant data.
5. In recent years, many projects have turned to crowdsourcing, which is a promising solution to obtain high-quality aggregate human judgments for supervised and semi-supervised machine learning approaches to NER . Another challenging task is devising models to deal with linguistically complex contexts such as Twitter and search queries.
6. It's difficult to find supervised machine learning in a sentence. 用supervised machine learning造句挺难的
7. Data analytics technology utilizing algorithms for the automated formation of classifiers that were developed in the supervised machine learning community in the 1990s ( for example, TDIDT, Support Vector Machines, Neural Nets, IBL ) are now used pervasively by companies for marketing survey targeting and discovery of trends and features in data sets.
8. "' Multifunction CardioGram TM ( MCG TM ) "'is the world's first Internet based non-invasive diagnostic tool that adopts Applied Systems Engineering prinicples using Digital Signal Processing, i . e . DSP, Data-mining and Supervised Machine Learning to aid physicians to make rapid and much more accurate diagnosis of heart diseases.
9. To date, a rich variety of techniques have been researched, from dictionary-based methods that use the knowledge encoded in lexical resources, to supervised machine learning methods in which a classifier is trained for each distinct word on a corpus of manually sense-annotated examples, to completely unsupervised methods that cluster occurrences of words, thereby inducing word senses.
10. Technology-assisted review ( TAR )  also known as computer-assisted review or predictive coding involves the application of supervised machine learning or rule-based approaches to infer the relevance ( or responsiveness, privilege, or other categories of interest ) of ESI . Technology-assisted review has evolved rapidly since its inception " circa " 2005.
11. Based on even larger datasets of over 500 million revisions across five languages ( en : English, de : German, es : Spanish, fr : French, and ru : Russian ), Tran & Christen's latest work adds to the efforts by applying several supervised machine learning algorithms from the Scikit-learn toolkit, including Decision Tree ( DT ), Random Forest ( RF ), Gradient Tree Boosting ( GTB ), Stochastic Gradient Descent ( SGD ) and Nearest Neighbour ( NN ).