Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Liu, Chuanren"'
Cognitive diagnosis models have been widely used in different areas, especially intelligent education, to measure users' proficiency levels on knowledge concepts, based on which users can get personalized instructions. As the measurement is not alway
Externí odkaz:
http://arxiv.org/abs/2403.14676
Autor:
Liu, Qi, Gong, Zheng, Huang, Zhenya, Liu, Chuanren, Zhu, Hengshu, Li, Zhi, Chen, Enhong, Xiong, Hui
Machine learning algorithms have become ubiquitous in a number of applications (e.g. image classification). However, due to the insufficient measurement of traditional metrics (e.g. the coarse-grained Accuracy of each classifier), substantial gaps ar
Externí odkaz:
http://arxiv.org/abs/2307.07134
Given a sequence of sets, where each set has a timestamp and contains an arbitrary number of elements, temporal sets prediction aims to predict the elements in the subsequent set. Previous studies for temporal sets prediction mainly focus on the mode
Externí odkaz:
http://arxiv.org/abs/2204.05490
Publikováno v:
In International Review of Financial Analysis November 2024 96 Part A
As machine learning becomes more widely used for critical applications, the need to study its implications in privacy turns to be urgent. Given access to the target model and auxiliary information, the model inversion attack aims to infer sensitive f
Externí odkaz:
http://arxiv.org/abs/2106.02820
Publikováno v:
In Decision Support Systems March 2024 178
Representation learning on heterogeneous graphs aims to obtain meaningful node representations to facilitate various downstream tasks, such as node classification and link prediction. Existing heterogeneous graph learning methods are primarily develo
Externí odkaz:
http://arxiv.org/abs/2105.11122
Heterogeneous graphs are pervasive in practical scenarios, where each graph consists of multiple types of nodes and edges. Representation learning on heterogeneous graphs aims to obtain low-dimensional node representations that could preserve both no
Externí odkaz:
http://arxiv.org/abs/2012.14722
Given a sequence of sets, where each set contains an arbitrary number of elements, the problem of temporal sets prediction aims to predict the elements in the subsequent set. In practice, temporal sets prediction is much more complex than predictive
Externí odkaz:
http://arxiv.org/abs/2006.11483