Towards efficient large-scale learning by exploiting sparsity

• Main Author: Tan, Ming Kui
• Other Authors: School of Computer Engineering
• Format: Theses and Dissertations
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/61881
• Institution: Nanyang Technological University

The last decade has witnessed explosive growth in data. The ultrahigh-dimensional and large volume data have brought many critical issues, such as the storage disaster, the scalability issues for data analysis, and so on. To enable efficient and effective big data analysis, this thesis exploits the...