4 citations · 11 across the 4 of their papers we have counts for
5 papers
Adaptive Base Class Boost for Multi-class Classification
Ping Li
We develop the concept of ABC-Boost (Adaptive Base Class Boost) for multi-class classification and present ABC-MART, a concrete implementation of ABC-Boost. The original MART (Mult…
The Optimal Quantile Estimator for Compressed Counting
Ping Li
Compressed Counting (CC) was recently proposed for very efficiently computing the (approximate) th frequency moments of data streams, where . Several estimators were re…
Compressed Counting
Ping Li
Counting is among the most fundamental operations in computing. For example, counting the pth frequency moment has been a very active area of research, in theoretical computer scie…
On Approximating Frequency Moments of Data Streams with Skewed Projections
Ping Li
We propose skewed stable random projections for approximating the pth frequency moments of dynamic data streams (0<p<=2), which has been frequently studied in theoretical computer…
Very Sparse Stable Random Projections, Estimators and Tail Bounds for Stable Random Projections
Ping Li
This paper will focus on three different aspects in improving the current practice of stable random projections. Firstly, we propose {\em very sparse stable random projections} to…