Two ensemble machine learning methods, employing the N-gram with TF-IDF feature-extraction technique, demonstrated superior performance in classification. Three popular multi-classification algorithms: Decision Trees, Random Forest, and XGBoost, were combined into two varied ensemble methods separately. ...
[2] Ilse, Maximilian, Jakub Tomczak, and Max Welling. "Attention-based deep multiple instance learning."International conference on machine learning. PMLR, 2018. [3] Shao, Zhuchen, et al. "Transmil: Transformer based correlated multiple instance learning for whole slide image classification."Advan...
Tabular Data Classification with TabTransformer in Keras In the world of machine learning, tabular data reigns supreme. From customer data to financial records, tabular datasets are everywhere… May 29 See more recommendations Help Status About Careers Press Blog Privacy Terms Text to speech Teams...
[2]Amores J. Multiple instance classification: Review, taxonomy and comparative study[J]. Artificial intelligence, 2013, 201: 81-105. [3]Ilse M, Tomczak J, Welling M. Attention-based deep multiple instance learning[C]//International conference on machine learning. PMLR, 2018: 2127-2136....
M.D. Muhlbaier,R Polikar - International Conference on Machine Learning & Cybernetics 被引量: 49发表: 2007年 A Cascade Multiple Classifier System for Document Categorization Summary: A novel cascade multiple classifier system (MCS) for document image classification is presented in the paper. It con...
Although reported results showed the good performances achievable by combining multiple classifiers, so far a designer of pattern classification systems should regard the MCS approach as an additional tool to be used when building a single classifier with the required performance is very difficult, or ...
negative. MIL algorithms attempt to learn a classification function that can predict the labels of bags and/or instances in the testing data. The applications of MIL include molecule activity prediction (分子活动预测), text categorization(文本分类), image classification and retrieval (图像分类和检索)...
ML confidential: Machine learning on encrypted dataView more references Cited by (91) A non-interactive privacy preserved training technique based on hybrid deep learning 2023, Optik Show abstract An efficient and practical approach for privacy-preserving Naive Bayes classification 2022, Journal of Infor...
Subspace learning has long been a fundamental yet important problem of modeling data distributions. In this paper, we propose to learn multiple linear subspaces in a supervised way for multi-class classification. To this end, a discriminative term redefining decision margin in terms of reconstruction...
Multiple Features Data Set(多特征数据集)数据摘要:"This dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps "中文关键词:机器学习,多特征,分类,多变量,UCI,英文关键词:Machine Learning,Multiple Features,Classification,MultiVarite,UCI,数据...