This paper develops new multiple classification approaches in a direct manner for high-dimensional multimodal data. Firstly, we construct multiple hyperpla
Recent 3D automatic cephalometry research poses several challenges in applying machine learning to 3D landmark detection, mainly related to the high dimensionality of the input data. These image data in high dimension incur a high computational cost, a key factor hindering widespread application in c...
“misbehavior” class whereas, Multi-class classification is able to categorize misbehaviors into particular misbehaving classes. Features of packet sending nodes are extracted by performing experiments in NCTUns-5.0 simulator with different simulation scenario (varying the number of legitimate and ...
You can deploy machine learning (ML) models for real-time inference with large libraries or pre-trained models. Common use cases include sentiment analysis, image classification, and search applications. These ML jobs typically vary in duration and require instant scaling to ...
In summary, we presented the classification of six diseases using a machine learning algorithm and gut microbiome data. By evaluating performance in various perspectives, we showed the effect of bacterial abundance of different taxonomy levels and various classifier on performance of classification. Furthe...
Multiple Kernel Learning (MKL) is a machine learning approach that allows for the integration of multiple features, such as genes, proteins, and metabolites, by combining them as different kernel matrices. These matrices are then used as input for various inference tasks, such as classification and...
We present a method for training support vector machine (SVM)-based classification systems for combination with other classification systems designed for t... L Ferrer,K Sönmez,E Shriberg - 《Journal of Machine Learning Research》 被引量: 19发表: 2009年 [lecture notes in computer science] m...
"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, 数据格式: TEXT 数据用途: This data is used fo...
(1998). Approximate statistical tests for comparing supervised classification learning algorithms [https://doi.org/10.1162/089976698300017197]. Neural computation, 10(7), 1895–1923. MEDLINE:9744903 Dimopoulos, L. F., Tsiros, L. X., Serelis, K., & Chronopoulou, A. (2004). Combining neural ...
[7] proposed a secure classification scheme over encrypted data. Some privacy-preserving solutions based on homomorphic encryption techniques have been proposed for training machine learning models such as nerual networks [12,14,24–26,53] and decision trees [51]. In the federated learning scenario...