18 citations · 32 across the 15 of their papers we have counts for
5 papers · 1 filter
MSc Dissertation: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach
Amichai Painsky
The availability of large microarray data has led to a growing interest in biclustering methods in the past decade. Several algorithms have been proposed to identify subsets of gen…
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds
Amichai Painsky, Saharon Rosset, Meir Feder
Independent Component Analysis (ICA) is a statistical tool that decomposes an observed random vector into components that are as statistically independent as possible. ICA over fin…
PhD Dissertation: Generalized Independent Components Analysis Over Finite Alphabets
Amichai Painsky
Independent component analysis (ICA) is a statistical method for transforming an observable multi-dimensional random vector into components that are as statistically independent as…
Outperforming Good-Turing: Preliminary Report
Amichai Painsky, Meir Feder
Estimating a large alphabet probability distribution from a limited number of samples is a fundamental problem in machine learning and statistics. A variety of estimation schemes h…
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance
Amichai Painsky, Saharon Rosset
Recursive partitioning approaches producing tree-like models are a long standing staple of predictive modeling, in the last decade mostly as ``sub-learners'' within state of the ar…