An Explainable Bayesian Decision Tree Algorithm
نویسندگان
چکیده
منابع مشابه
Predicting Twist Condition by Bayesian Classification and Decision Tree Techniques
Railway infrastructures are among the most important national assets of countries. Most of the annual budget of infrastructure managers are spent on repairing, improving and maintaining railways. The best repair method should consider all economic and technical aspects of the problem. In recent years, data analysis of maintenance records has contributed significantly for minimizing the costs. B...
متن کاملAn Algorithm for Better Decision Tree
The present paper aims at constructing the decision tree for a given database which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the output. The database is generated using the sampling techniques and the classification algorithm is applied on the samples. The obtained results are compared with experimental results in order to verify the validity a...
متن کاملExplainable Artificial Intelligence via Bayesian Teaching
Modern machine learning methods are increasingly powerful and opaque. This opaqueness is a concern across a variety of domains in which algorithms are making important decisions that should be scrutable. The explainabilty of machine learning systems is therefore of increasing interest. We propose an explanation-byexamples approach that builds on our recent research in Bayesian teaching in which...
متن کاملAn Incremental Algorithm for Tree-shaped Bayesian Network Learning
Incremental learning is a very important approach to learning when data is presented in short chunks of instances. In such situations, there is an obvious need for improving the performance and accuracy of knowledge representations or data models as new data is available. It would be too costly, in computing time and memory space, to use the batch algorithms processing again the old data togeth...
متن کاملDecision Tree Induction Systems: A Bayesian Analysis
Decision tree induction systems are being used for knowledge acquisition. Yet they have been developed without proper regard for the subjective Bayesian theory of inductive inference. This paper examines the problem tackled by these systems from the Bayesian view in order to interpret the systems and the heuristic methods they use. It is shown that decision tree systems depart from the usual Ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Applied Mathematics and Statistics
سال: 2021
ISSN: 2297-4687
DOI: 10.3389/fams.2021.598833