Proceedings of the IEEE, Vol.104 No.1, January 2016
Special Issue
Big Data: Theoretical Aspects. --S. Haykin, S. Wright, Y. Bengio.
1.) A Review of Relation Machine Learning for Knowledge Graphs. --M. Nickel, M. Murphy, V. Tresp, E. Gabrilovich.
2.) Learning to Hash for Indexing Big Data-A Survey. --J. Wang, W. Liu, S. Kumar, S. F. Chang.
3.) Implementing Randomized Matrix Algorithms in Parallel and Ditributed Environments. --J. Yang, X. Meng, M. W. Mahoney.
4.) Foundaional Principles for Large-Scale Inference: Illustrations Through Correlation Mining. --A. O. Hero, B. Rajaratnam.
5.) Resource Allocation for Statiscal Estimation. --Q. Berthet, V. Chandrasekaran.
6.) Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data. --P. Buhlmann, N. Meinshausen.
7.) Learning Reductions That Really Work. --A. Beygelzimer, H. Daume, J. Langford, P. Mineiro.
8.) Taking the Human Out of the Loop: A Review of Bayesian Optimization. --B. Shahriari, K. Swersky, Z. Wang, R. P. Adams, N. de Freitas.
9.) Macine Learning in Genomic Medicine: A. Review of Computational Problems and Data Sets. --M. K. K. Leung, A Delong, B. Alipanahi, B. J. Frey.
Big Data: Theoretical Aspects. --S. Haykin, S. Wright, Y. Bengio.
1.) A Review of Relation Machine Learning for Knowledge Graphs. --M. Nickel, M. Murphy, V. Tresp, E. Gabrilovich.
2.) Learning to Hash for Indexing Big Data-A Survey. --J. Wang, W. Liu, S. Kumar, S. F. Chang.
3.) Implementing Randomized Matrix Algorithms in Parallel and Ditributed Environments. --J. Yang, X. Meng, M. W. Mahoney.
4.) Foundaional Principles for Large-Scale Inference: Illustrations Through Correlation Mining. --A. O. Hero, B. Rajaratnam.
5.) Resource Allocation for Statiscal Estimation. --Q. Berthet, V. Chandrasekaran.
6.) Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data. --P. Buhlmann, N. Meinshausen.
7.) Learning Reductions That Really Work. --A. Beygelzimer, H. Daume, J. Langford, P. Mineiro.
8.) Taking the Human Out of the Loop: A Review of Bayesian Optimization. --B. Shahriari, K. Swersky, Z. Wang, R. P. Adams, N. de Freitas.
9.) Macine Learning in Genomic Medicine: A. Review of Computational Problems and Data Sets. --M. K. K. Leung, A Delong, B. Alipanahi, B. J. Frey.
Nickel, M. - Personal Name
Wang, J. - Personal Name
Yang, J. - Personal Name
Hero, A. O. - Personal Name
Berthet, Q. - Personal Name
Buhlmann, P. - Personal Name
Beygelzimer, A. - Personal Name
Shahriari, B. - Personal Name
Leung, M. K. K. - Personal Name
Wang, J. - Personal Name
Yang, J. - Personal Name
Hero, A. O. - Personal Name
Berthet, Q. - Personal Name
Buhlmann, P. - Personal Name
Beygelzimer, A. - Personal Name
Shahriari, B. - Personal Name
Leung, M. K. K. - Personal Name
Vol.104 No.1, January 2016
PSD 0050
0018-9219
Prosiding
Prosiding
Inggris
Institute of Electrical and Electronics Engineers
2016
New York
210 hlm
LOADING LIST...
LOADING LIST...