AMPLab Publications

• MLlib: Machine Learning in Apache Spark
• Automating Model Search for Large Scale Machine Learning
• Changepoint Analysis for Efficient Variant Calling
• SMASH: A Benchmarking Toolkit for Human Genome Variant Calling
• Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems
• Distributed Low-rank Subspace Segmentation
• MLI: An API for Distributed Machine Learning
• A General Bootstrap Performance Diagnostic
• MLbase: A Distributed Machine-learning System
• A Scalable Bootstrap for Massive Data
• Divide-and-Conquer Matrix Factorization