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- research-articleFebruary 2019
A Distributed PCM Clustering Algorithm Based on Spark
ICMLC '19: Proceedings of the 2019 11th International Conference on Machine Learning and ComputingPages 70–74https://doi.org/10.1145/3318299.3318315With the large-scale growth of data, traditional single-machine data processing methods are difficult to deal with massive data, especially iterative clustering algorithms that require frequent reading and writing operations. On the basis of Spark ...
- ArticleJuly 2015
A Support Set Selection Algorithm for Sparse Gaussian Process Regression
IIAI-AAI '15: Proceedings of the 2015 IIAI 4th International Congress on Advanced Applied InformaticsPages 568–573https://doi.org/10.1109/IIAI-AAI.2015.275Gaussian process is difficult to apply to the large data due to its computational problem. Many sparse methods have been proposed to deal with this problem. The majority focus on regression by a small size of support set. In this paper, we aim to ...
- ArticleNovember 2013
Optimized Deep Learning Architectures with Fast Matrix Operation Kernels on Parallel Platform
ICTAI '13: Proceedings of the 2013 IEEE 25th International Conference on Tools with Artificial IntelligencePages 71–78https://doi.org/10.1109/ICTAI.2013.21In this paper, we introduce an optimized deep learning architecture with flexible layer structures and fast matrix operation kernels on parallel computing platform (e.g. NVIDIA's GPU). Carefully designed layer-wise strategies are conducted to integrate ...