Reviewing ensemble classification methods in breast cancer
Context Ensemble methods consist of combining more than one single technique to solve
the same task. This approach was designed to overcome the weaknesses of single …
the same task. This approach was designed to overcome the weaknesses of single …
Bootstrap aggregating and random forest
Abstract Bootstrap Aggregating (Bagging) is an ensemble technique for improving the
robustness of forecasts. Random Forest is a successful method based on Bagging and …
robustness of forecasts. Random Forest is a successful method based on Bagging and …
SDTR: Soft decision tree regressor for tabular data
Deep neural networks have been proved a success in multiple fields. However, researchers
still favor traditional approaches to obtain more interpretable models, such as Bayesian …
still favor traditional approaches to obtain more interpretable models, such as Bayesian …
A systematic map** study for ensemble classification methods in cardiovascular disease
Ensemble methods overcome the limitations of single machine learning techniques by
combining different techniques, and are employed in the quest to achieve a high level of …
combining different techniques, and are employed in the quest to achieve a high level of …
Comparison of the machine learning methods to predict wildfire areas
In the last decades, global warming has changed the temperature. It caused an increasing
the wildfire in everywhere. Wildfires affect people's social lives, animal lives, and countries' …
the wildfire in everywhere. Wildfires affect people's social lives, animal lives, and countries' …
Distributional Adaptive Soft Regression Trees
Random forests are an ensemble method relevant for many problems, such as regression or
classification. They are popular due to their good predictive performance (compared to, eg …
classification. They are popular due to their good predictive performance (compared to, eg …
A Case Study on Argumentation Based Teaching= Argümantasyona dayali ögretime iliskin bir durum çalismasi.
This qualitative single holistic case study is the analysis of students' views and experiences
during the argumentation based teaching process which can potentially provide insights on …
during the argumentation based teaching process which can potentially provide insights on …
Classification trees with soft splits optimized for ranking
J Dvořák - Computational Statistics, 2019 - Springer
We consider softening of splits in classification trees generated from multivariate numerical
data. This methodology improves the quality of the ranking of the test cases measured by the …
data. This methodology improves the quality of the ranking of the test cases measured by the …
Rule-Extraction from Soft Decision Trees
Soft Decision Trees have been proven to have better performance in terms of accuracy and
complexity compared to conventional Decision Trees. Nevertheless, they do not possess …
complexity compared to conventional Decision Trees. Nevertheless, they do not possess …
[CITATION][C] Sosyobilimsel konulara dayalı argümantasyon yönteminin ortaokul öğrencilerinin bilimsel okuryazarlık seviyelerine etkisinin incelenmesi
C Karaman - 2019 - Eğitim Bilimleri Enstitüsü