- An Introduction to Variable and Feature Selection
- 特征选择方法综述
- Variable Importance Assessment in Regression: Linear Regression versus Random Forest
- MPI gradient aggregationA Scalable Modular Convex Solver for Regularized Risk Minimization
- MapReduceMap-Reduce for Machine Learning on Multicore
- Graph-basedGraphLab: A New Framework For Parallel Machine Learning
- Parameter serverAn Architecture for Parallel Topic Models
- Parameter serverBuilding High-level Features Using Large Scale Unsupervised Learning
- Parameter serverProject Adam: Building an Efficient and Scalable Deep Learning Training System
- Allreduce approachesA Reliable Effective Terascale Linear Learning System
- Allreduce approaches1-Bit Stochastic Gradient Descent and its Application to Data-Parallel Distributed Training of Speech DNNs
- GPU+MPI approachesDeep learning with COTS HPC systems