Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

Session: Chapter 2: Intelligent Searching and Genetic Programming

17 articles
Lianghao Ji, Xinyue Zhao, Qun Liu, Yong Wang
This paper investigates the group consensus problem of first-order multi-agent networks with multiple time delays. By applying the theory of frequency-domain, we aim to propose some algebraic criteria such that the multi-agent networks can reach group consensus. From the results, it can be shown that...
Miki Hermann, Vincent Rudelli
We present an algorithm to distribute a possibly large number of papers among a smaller number of referees, each paper requiring k reports. The optimality criterion for the assignment is not based on a local view of each referee, but on a global performance of the whole k-assignment satisfying a fairness...
Jia Luo, Shihe Chen, Fengping Pan, Yaqin Zhu, Le Wu, Yaqi Sun, Chunkai Zhang
The Stream data exists in the field of industrial production, life activities, business transactions, and other fields. It is closely related to people’s life, production and so on. This paper proposes inter-transaction association rules mining method based on dynamic support threshold. Inter-transaction...
Jing Zhao, Tianshe Yang, Ke Zhang, Xingmiao Liu, Na Fu, Xuhua Wang
This paper presents a new scheme for data mining in spacecraft state association and abnormal detection. A method which includes state association knowledge mining (SAKM) and Similar Density Merge Clustering (SDMC) is developed. Data from the satellite are the most critical thing for analyzing satellite...
Sylvia Encheva
Students’ knowledge assessment has occupied the attention of many researches pertaining to different disciplines. Recent areas of interest in this regard include availability of preliminary skills and status of latest obtained knowledge, self-assessment, grading methods, tests, hints, help functions,...
Yuwen Chen, Kunhua Zhong, Ju Zhang, Qilong Sun, Xueliang Zhao
A lot of real-life mobile sensing applications are becoming available. These applications use mobile sensors embedded in smart phones to recognize human activities in order to get a better understanding of human behavior. In this paper, we propose a LSTM-based feature extraction approach to recognize...
Jinyuan Zhou, Gaoyun Xia
The paper is to explore Micro-blog’s features, namely, whether it belongs to Document, the paper makes comparisons on definition, elements, information processing level, similarities and differences of ten documentary information sources, features and functions between Document and Micro-blog. The paper...
Binquan Li, Xiaohui Hu
The descriptors should be robust to changes of images taken under various conditions in order to obtain correct recognition. In this paper, we compare the robustness of descriptors computed for local interest regions, for example, extracted by the Harris, SURF and MSER detector. Different descriptors...