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2023/07/14 · We propose a task-agnostic evaluation framework Camilla, where a multi-dimensional diagnostic metric Ability is defined for collaboratively measuring the ...
In this way, both the abilities of each algorithm on multiple skills and some of the sample factors (e.g. sample difficulty) can be simultaneously quantified.
2023/07/14 · ABSTRACT. Machine learning algorithms have become ubiquitous in a number of applications (e.g. image classification).
In this way, both the abilities of each algorithm on multiple skills and some of the sample factors (e.g. sample difficulty) can be simultaneously quantified.
Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts.
2024/06/04 · The training results confirm the learning ability of the machine learning algorithms, whereas the testing results justify the robustness and ...
Understanding the strengths and weaknesses of machine learning (ML) algorithms is crucial to determine their scope of application. Here, we introduce the ...
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Based on relevant research, this review explains how machine learning (ML) is being used to help in the early identification of numerous diseases.
2024/02/03 · This article provides key strategies and techniques to effectively handle analysis of high-dimensional datasets, enabling better insights and models.
2024/06/25 · Multi-dimensional classification (MDC) aims at learning from objects where each of them is represented by a single instance while associated with multiple ...