Results 21 to 30 of about 723,870 (293)

Inducing safer oblique trees without costs [PDF]

, 2005
Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significantly ...
Althoff K., Bennett K.P., Bennett K.P., Berry M., Blake C., Bradford J., Breiman L., Cohen R., Domingos P., Elkan C., Elomaa T., Fan W., Grefenstette J., Knoll U., Kolodner J., Morrison D., Norusis M., Nunez M., Pazzani M., Provost F.J., Provost F.J., Quinlan J.R., Quinlan J.R., Sunil Vadera, Tan M., Ting K., Turney P., Vadera S.   +27 more
core   +2 more sources

Machine learning decision tree models for multiclass classification of common malignant brain tumors using perfusion and spectroscopy MRI data

Frontiers in Oncology, 2023
BackgroundTo investigate the contribution of machine learning decision tree models applied to perfusion and spectroscopy MRI for multiclass classification of lymphomas, glioblastomas, and metastases, and then to bring out the underlying key ...
Rodolphe Vallée, Rodolphe Vallée, Rodolphe Vallée, Jean-Noël Vallée, Jean-Noël Vallée, Carole Guillevin, Carole Guillevin, Athéna Lallouette, Clément Thomas, Clément Thomas, Guillaume Rittano, Michel Wager, Rémy Guillevin, Rémy Guillevin, Alexandre Vallée   +14 more
doaj   +1 more source

Optimization of Machine Learning Algorithms with Bagging and AdaBoost Methods for Stroke Disease Prediction

Applied Medical Informatics, 2023
Stroke is an acute neurologic disorder of blood vessels in brain due to blockage of blood flow to the brain resulting in less oxygen. Stroke remains one of the leading causes of death worldwide.
Helmi Saifullah MANSUR, Nelly Oktavia ADIWIJAYA, Tio DHARMAWAN   +2 more
doaj  

Interpretable land cover classification with modal decision trees

European Journal of Remote Sensing, 2023
Land cover classification (LCC) refers to the task of classifying each pixel in satellite/aerial imagery by predicting a label carrying information about its nature.
G. Pagliarini, G. Sciavicco
doaj   +1 more source

Malicious URLs Detection Using Decision Tree Classifiers and Majority Voting Technique

Cybernetics and Information Technologies, 2018
Researchers all over the world have provided significant and effective solutions to detect malicious URLs. Still due to the ever changing nature of cyberattacks, there are many open issues.
Patil Dharmaraj R., Patil J. B.
doaj   +1 more source

Prediction of Innovation Values of Countries Using Data Mining Decision Trees and a Comparative Application with Linear Regression Model

Istanbul Business Research, 2021
Innovation levels and capacities of countries are two very important factors for competitiveness as well as the current Industrial 4.0 Revolution. In this context, capacity and level are relative concepts, with a great need for a common measurement ...
Merve Doğruel, Seniye Ümit Fırat
doaj   +1 more source

A survey of cost-sensitive decision tree induction algorithms [PDF]

, 2013
The past decade has seen a significant interest on the problem of inducing decision trees that take account of costs of misclassification and costs of acquiring the features used for decision making.
Bradford J. P., Elkan C., Esmeir S., Esmeir S., Estruch V., Fan W., Ferri C., Freund Y., Hart A. E., Knoll U., Li J., Lin F. Y., Liu X., Mease D., Murthy S., Ni A., Norton S. W., Pazzani M., Quinlan J. R., Quinlan J. R., Schapire R. E., Sunil Vadera, Susan Lomax, Swets J., Tan M., Ting K., Ting K., Ting K. M., von Neumann J., Zadrozny B.   +29 more
core   +2 more sources

Decision Stream: Cultivating Deep Decision Trees

, 2017
Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability. Tree node splitting based on relevant feature selection is a key step of decision tree learning, at the same time ...
Ignatov, Andrey, Ignatov, Dmitry
core   +1 more source

Random Prism: An Alternative to Random Forests. [PDF]

, 2011
Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
core   +1 more source

Formal Verification of Input-Output Mappings of Tree Ensembles

, 2020
Recent advances in machine learning and artificial intelligence are now being considered in safety-critical autonomous systems where software defects may cause severe harm to humans and the environment. Design organizations in these domains are currently
Nadjm-Tehrani, Simin, Törnblom, John
core   +1 more source