CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits

19 Jun 2015Mohammad NorouziMaxwell D. CollinsDavid J. FleetPushmeet Kohli

We propose a novel algorithm for optimizing multivariate linear threshold functions as split functions of decision trees to create improved Random Forest classifiers. Standard tree induction methods resort to sampling and exhaustive search to find good univariate split functions... (read more)

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