Journal: Proceedings of the IEEE

Volume 104, Issue 1

2 -- 7James T. Yurkovich, Bernhard O. Palsson. Solving Puzzles With Missing Pieces: The Power of Systems Biology [Point of View]
8 -- 10Simon Haykin, Stephen J. Wright, Yoshua Bengio. Big Data: Theoretical Aspects [Scanning the Issue]
11 -- 33Maximilian Nickel, Kevin Murphy 0002, Volker Tresp, Evgeniy Gabrilovich. A Review of Relational Machine Learning for Knowledge Graphs
34 -- 57Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang. Learning to Hash for Indexing Big Data - A Survey
58 -- 92Jiyan Yang, Xiangrui Meng, Michael W. Mahoney. Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
93 -- 110Alfred Olivier Hero, Bala Rajaratnam. Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining
111 -- 125Quentin Berthet, Venkat Chandrasekaran. Resource Allocation for Statistical Estimation
126 -- 135Peter Buhlmann, Nicolai Meinshausen. Magging: Maximin Aggregation for Inhomogeneous Large-Scale Data
136 -- 147Alina Beygelzimer, Hal Daumé III, John Langford, Paul Mineiro. Learning Reductions That Really Work
148 -- 175Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas. Taking the Human Out of the Loop: A Review of Bayesian Optimization
176 -- 197Michael K. K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey. Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets
198 -- 209Simon Reif-Acherman. Georg Simon Ohm and the First Comprehensive Theory of Electrical Conductivity in Metals [Scanning our Past]