Suchergebnisse - "IEEE transactions on knowledge and data engineering"

Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning von Zhang, Yifan, Zhao, Peilin, Wu, Qingyao, Li, Bin, Huang, Junzhou, Tan, Mingkui

“… Portfolio Selection is an important real-world financial task and has attracted extensive attention in artificial intelligence communities. This task, however, …”
Volltext

LBSN2Vec++: Heterogeneous Hypergraph Embedding for Location-Based Social Networks von Yang, Dingqi, Qu, Bingqing, Yang, Jie, Cudre-Mauroux, Philippe

“… Location-Based Social Networks (LBSNs) have been widely used as a primary data source for studying the impact of mobility and social relationships on each …”
Volltext

Clarifying Trust in Social Internet of Things von Lin, Zhiting, Dong, Liang

“… A social approach can be exploited for the Internet of Things (IoT) to manage a large number of connected objects. These objects operate as autonomous agents …”
Volltext

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy von Ma, Chuan, Yuan, Long, Han, Li, Ding, Ming, Bhaskar, Raghav, Li, Jun

“… With the great amount of available data, especially collecting from the ubiquitous Internet of Things (IoT), the issue of privacy leakage arises increasingly …”
Volltext

Sensor-Based Abnormal Human-Activity Detection von Jie Yin, Qiang Yang, Pan, J.J.

“… With the availability of affordable sensors and sensor networks, sensor-based human activity recognition has attracted much attention in artificial …”
Volltext

HGATE: Heterogeneous Graph Attention Auto-Encoders von Wang, Wei, Suo, Xiaoyang, Wei, Xiangyu, Wang, Bin, Wang, Hao, Dai, Hong-Ning, Zhang, Xiangliang

“… Graph auto-encoder is considered a framework for unsupervised learning on graph-structured data by representing graphs in a low dimensional space. It has been …”
Volltext

Closeness: A New Privacy Measure for Data Publishing von Ninghui Li, Tiancheng Li, Venkatasubramanian, Suresh

“… The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each …”
Volltext

A Novel Density-Based Clustering Framework by Using Level Set Method von WANG, Xiao-Feng, HUANG, De-Shuang

“… In this paper, a new density-based clustering framework is proposed by adopting the assumption that the cluster centers in data space can be regarded as target …”
Volltext

A Fast Multiple Longest Common Subsequence (MLCS) Algorithm von Qingguo Wang, Korkin, Dmitry, Yi Shang

“… Finding the longest common subsequence (LCS) of multiple strings is an NP-hard problem, with many applications in the areas of bioinformatics and computational …”
Volltext

Are Data Sets Like Documents?: Evaluating Similarity-Based Ranked Search over Scientific Data von Megler, V. M., Maier, David

“… The past decade has seen a dramatic increase in the amount of data captured and made available to scientists for research. This increase amplifies the …”
Volltext

Personalized Web search for improving retrieval effectiveness von Fang Liu, Yu, C., Weiyi Meng

“… Current Web search engines are built to serve all users, independent of the special needs of any individual user. Personalization of Web search is to carry out …”
Volltext

Simulated annealing using a reversible jump Markov chain Monte Carlo algorithm for fuzzy clustering von Bandyopadhyay, S.

“… In this paper, an approach for automatically clustering a data set into a number of fuzzy partitions with a simulated annealing using a reversible jump Markov …”
Volltext

Unifying Large Language Models and Knowledge Graphs: A Roadmap von Pan, Shirui, Luo, Linhao, Wang, Yufei, Chen, Chen, Wang, Jiapu, Wu, Xindong

“… Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to …”
Volltext

Self-Supervised Learning: Generative or Contrastive von Liu, Xiao, Zhang, Fanjin, Hou, Zhenyu, Mian, Li, Wang, Zhaoyu, Zhang, Jing, Tang, Jie

“… Deep supervised learning has achieved great success in the last decade. However, its defects of heavy dependence on manual labels and vulnerability to attacks …”
Volltext

A Survey on Multi-Task Learning von Zhang, Yu, Yang, Qiang

“… Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help …”
Volltext

Generalizing to Unseen Domains: A Survey on Domain Generalization von Wang, Jindong, Lan, Cuiling, Liu, Chang, Ouyang, Yidong, Qin, Tao, Lu, Wang, Chen, Yiqiang, Zeng, Wenjun, Yu, Philip S.

“… Machine learning systems generally assume that the training and testing distributions are the same. To this end, a key requirement is to develop models that …”
Volltext

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications von Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping

“… Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms …”
Volltext

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection von Li, Qinbin, Wen, Zeyi, Wu, Zhaomin, Hu, Sixu, Wang, Naibo, Li, Yuan, Liu, Xu, He, Bingsheng

“… As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of …”
Volltext

A Survey on Generative Diffusion Models von Cao, Hanqun, Tan, Cheng, Gao, Zhangyang, Xu, Yilun, Chen, Guangyong, Heng, Pheng-Ann, Li, Stan Z.

“… Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch …”
Volltext

A Survey on Deep Semi-Supervised Learning von Yang, Xiangli, Song, Zixing, King, Irwin, Xu, Zenglin

“… Deep semi-supervised learning is a fast-growing field with a range of practical applications. This paper provides a comprehensive survey on both fundamentals …”
Volltext