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The BGP integrates certain types of data pre-processing and post-processing methods with conventional GP engine to enhance its ability to solve both regression and classification problems simultaneously.
In this paper, the relationship between the ensemble and its component neural networks is analyzed from the context of both regression and classification, which reveals that it may be better to ensemble many instead of all of the neural networks at hand.
What is more, GB could deal with both regression and classification.
In this study, five different machine learning methods including both regression and classification approaches were tested to establish PCM modeling.
Both regression and classification models were generated in Pipeline Pilot Version 8.5 using the R-statistics modeling package version 2.12.1[50, 59].
Quantitative Structure-Activity Relationship (QSAR) or Structure-Activity Relationship (SAR) models (both regression and classification) are the most common and widely used methods to relate chemical structure/properties with their biological, chemical or environmental activities [8].
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The present study used both logistic regression and classification trees to develop a predictive model for SNPT among outpatients seen at the public health care system in Rio de Janeiro city.
Both regression and single-label classification methods suffer from the same problem: two different (clusters of) emotions cannot be simultaneously predicted.
Professor Zhang and members in his center conduct research in both the general area of regression and classification analyses and the methodologies for post-genome data analyses.
Regression and classification.
9.520-A Networks for Learning: Regression and Classification.
More suggestions(12)
both clustering and classification
both tracking and classification
both forecasting and classification
both segmentation and classification
both performance and classification
both regression and linear
both regression and factor
both universality and classification
both detection and classification
both characterization and classification
both prediction and classification
both notification and classification
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