A novel Bagged Naïve Bayes-Decision Tree approach for multi-class classification problems
Breakthrough classification performances have been achieved by utilizing ensemble
techniques in machine learning and data mining. Bagging is one such ensemble technique …
techniques in machine learning and data mining. Bagging is one such ensemble technique …
Decision stream: Cultivating deep decision trees
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 …
due to their high efficiency and interpretability. Tree node splitting based on relevant feature …
A novel tolerance geometric method based on machine learning
L Cui, M Sun, Y Cao, Q Zhao, W Zeng… - Journal of Intelligent …, 2021 - Springer
In most cases, designers must manually specify geometric tolerance types and values when
designing mechanical products. For the same nominal geometry, different designers may …
designing mechanical products. For the same nominal geometry, different designers may …
Application of clustering-based decision tree approach in SQL query error database
In the educational environment field of teaching and learning for the SQL language, there
have been recent approaches that use heuristic methods to categorize and discover …
have been recent approaches that use heuristic methods to categorize and discover …
Contribution of Artificial intelligence to the Promotion of Mental Health
Mental stress is a normal and frequent phenomenon in human beings. Earlier stress
recognition is critical for avoiding these negative impacts since prolonged stress has an …
recognition is critical for avoiding these negative impacts since prolonged stress has an …
Automatic detection of negative symptoms in schizophrenia via acoustically measured features associated with affective flattening
Among the characteristic symptoms of schizophrenia, negative symptoms are a category.
The existence of negative symptoms results in a diminution of normal behaviors and …
The existence of negative symptoms results in a diminution of normal behaviors and …
Behavior recognition of a person in a daily video using joint position information
In this paper, we propose a method to recognize people's specific behaviors in images
acquired in everyday life. The poses that occur when taking a specific action are …
acquired in everyday life. The poses that occur when taking a specific action are …
Machine learning based malware detection-how to balance memory footprint with model accuracy
Security vendors and malware creators play a game of cat and mouse for more than two
decades now. The latest area of computer science that every security vendor uses is …
decades now. The latest area of computer science that every security vendor uses is …
[HTML][HTML] 基于电子病历的肺癌诊断决策树算法
冯云霞， 张润 - 计算机系统应用, 2019 - csa.org.cn
随着人民生活水平的不断提高, 肿瘤疾病的人数在不断增多, 其中肺癌是21
世纪严重危害人类健康的重大疾病. 为此提出一种基于电子病历的肺癌诊断决策树方法 …
世纪严重危害人类健康的重大疾病. 为此提出一种基于电子病历的肺癌诊断决策树方法 …
Attribute reduction for defect prediction using random subset feature selection method
GNV Ramana Rao, V Balaram… - … Systems Design and …, 2019 - Springer
Large software products require high effort to maintain the code base. Most of the time
managers face challenging situations for efficient allocation of resources. In this paper, we …
managers face challenging situations for efficient allocation of resources. In this paper, we …