Results 281 to 290 of about 49,333 (314)

ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition

Neural Information Processing Systems
Synthetic face recognition (SFR) aims to generate synthetic face datasets that mimic the distribution of real face data, which allows for training face recognition models in a privacy-preserving manner.
Shen Li, Jianqing Xu, Jiaying Wu, Miao Xiong, Ailin Deng, Jia-Bao Ji, Y. Huang, Wenjie Feng, Shouhong Ding, Bryan Hooi   +9 more
semanticscholar   +1 more source

ID3 Decision Tree Classification: An Algorithmic Perspective based on Error rate

International Conference Electronic Systems, Signal Processing and Computing Technologies [ICESC-], 2020
Classification in Data mining is a very important approach that is widely used in all the applications including medical diagnoses, agriculture, and other decision making systems.
A. Rajeshkanna, K. Arunesh
semanticscholar   +1 more source

ID3 Promotes Stem Cell Features and Predicts Chemotherapeutic Response of Intrahepatic Cholangiocarcinoma

Hepatology, 2019
Cancer stem cells contribute to a high rate of recurrence and chemotherapeutic resistance in many types of cancer, including intrahepatic cholangiocarcinoma (ICC).
Lifeng Huang, Jie Cai, Han Guo, J. Gu, Ying Tong, B. Qiu, Chenchen Wang, M. Li, Lei-Lei Xia, Jianjun Zhang, Hailong Wu, X. Kong, Q. Xia   +12 more
semanticscholar   +1 more source

Improved Decision Tree Algorithm: ID3+

2006
This paper proposed an improved decision tree algorithm, ID3+. Through the performance of autonomous backtracking, information gain reduction and surrogate value, our method overcomes some ID3’s disadvantages, such as preference bias and the inability to deal with unknown attribute values. The experimental results show that our method can competitively
Min Xu, Jian-Li Wang, Tao Chen
openaire   +1 more source

Implementation of Modified ID3 Algorithm

2017
Data classification algorithms are very important in real world applications like- intrusion classification, heart disease prediction, cancer prediction etc. This paper presents a novel decision tree based technique for data classification. Basically it is an enhanced variant of ID3 algorithm.
Latika Mehrotra, Prashant Sahai Saxena, Nitika Vats Doohan   +2 more
openaire   +1 more source

Ontology-based ID3 tag management system

2012 International Conference on ICT Convergence (ICTC), 2012
Since music service providers offer different ID3 tags, it is difficult for users to maintain a consistent multimedia environment. To overcome this difficulty, we propose a system that uses an open API, a social network service, and ontology. The system collects ID3 tag information using the open API and maintains the consistency of the MP3 metadata ...
Jong-Soo Sohn, Do-Hyung Kim, In-Jeong Chung   +2 more
openaire   +1 more source

A mathematical model based on modified ID3 algorithm for healthcare diagnostics model

International Journal of System Assurance Engineering and Management, 2023
Arun Agarwal, Khushboo Jain, R. K. Yadav
semanticscholar   +1 more source

Practical: An ID3 Parser

2005
With a library for parsing binary data, you’re ready to write some code for reading and writing an actual binary format, that of ID3 tags. ID3 tags are used to embed metadata in MP3 audio files. Dealing with ID3 tags will be a good test of the binary data library because the ID3 format is a true real-world format—a mix of engineering trade-offs and ...
openaire   +1 more source

An Improved ID3 Decision Tree Algorithm

Advanced Materials Research, 2014
As the classical algorithm of the decision tree classification algorithm, ID3 algorithm is famous for the merits of high classifying speed, strong learning ability and easy construction. But when used to make classification, the problem of inclining to choose attributions which have many values affect its practicality.
Xiao Juan Chen, Zhi Gang Zhang, Yue Tong
openaire   +1 more source

An Improved ID3 Classification Algorithm Based On Correlation Function and Weighted Attribute*

2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS), 2019
ID3 decision tree algorithm is a supervised learning model based on calculating the information gain to select the best splitting attribute, which is the main factor to construct a decision tree.
Fatima Es-sabery, Abdellatif Hair
semanticscholar   +1 more source