Titlebook: Artificial Intelligence; First CCF Internatio Zhi-Hua Zhou,Qiang Yang,Yu Zheng Conference proceedings 2018 Springer Nature Singapore Pte Lt

Kidney-Failure

CARE

1865-0929 ctions on unsupervised learning,?graph-based and semi-supervised learning,?neural networks and deep learning,?planning and optimization,?AI applications..978-981-13-2121-4978-981-13-2122-1Series ISSN 1865-0929 Series E-ISSN 1865-0937

租約

小蟲

Resources, Globalization, and Localization, making use of the second nearest neighbor appropriately. The proposed INNDR is evaluated against NNDR on a set of benchmark datasets. Our experiments will demonstrate that INNDR generally outperforms the traditional NNDR in both matching accuracy and recall vs 1-precision.

ADAGE

云狀

Laboratory Production of Amorphous Silicatesning algorithms, the new algorithm owns a simple processing pipeline and avoids irregular memory access generated by graph traversals. The experimental result show that the new algorithm achieves 10x faster than Metis and 2x faster than label propagation algorithm at the cost of reasonable precision

Jejune

pellagra

nascent

An Improved DBSCAN Algorithm Using Local Parameterssimple and easy to implement. The experimental results show that this algorithm can solve the problems of DBSCAN algorithm and can deal with arbitrary shape data and unbalanced data. Especially in dealing with unbalanced data, the clustering effect is obviously better than other algorithms.

新陳代謝