Sentence examples for machine learning classification from inspiring English sources
Support Vector Machine (SVM) is a machine learning classification technique that supports binary classification.
Their experimental results showed that machine learning classification combined with MFS significantly improved the performance of binary classification.
This work proposes a computationally efficient technique for the traversability estimation of the terrain, based on a machine learning classification method.
Different Machine Learning classification algorithms were used to fit the QPPRs based on πk SN), showing J48 decision tree classifier to have the best performance.
Fig. 6 Average recall and precision parameters calculated for a number of machine learning classification methods applied to the DUD-E datasets.
The approaches of designing effective siRNAs are classified into to two groups: the score-based algorithms and the machine learning classification algorithms.
The problem "how predicted motifs may be used to simulate upregulation of transcription" was formalized as a machine-learning classification problem (Zou et al. 2011).
Using these features as input variables, we trained and tested several machine-learning classification algorithms and compared the results with the output from a statistical classification technique, discriminant analysis.
Aiming at enhancing the predictive power of the available computational methods, we have developed a novel approach based on machine-learning classification algorithms, where mismatches between known and predicted drug classifications are purposely interpreted as potential alternative therapeutic indications.
Next, we trained various machine-learning classification algorithms on the cues and tested their classification accuracy using 10-fold cross-validation as a bootstrap technique to increase the validity of the results.
The support post says that the flagging is done through "a mix of machine-learning classification and human moderation by our Trust & Safety team the group of individuals who help moderate Tumblr," adding that the site has been expanding the team due to the daunting task of wiping the site of any and all nudity and pornography.
