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19951990s
Tin Kam Ho
Introduced random decision forests, building ensembles from randomly chosen feature subspaces years before the method became standard.
Organizations
Bell LabsIBM Research
Major Achievements
- •Published the random decision forest method in 1995, predating and informing Breiman's random forests.
- •Introduced the random subspace method, training each tree on a different random selection of features.
- •Contributed foundational work on measuring the difficulty of classification problems.
- •Elected a Fellow of the IEEE and of the International Association for Pattern Recognition.
Key Papers
- Random Decision Forests
Tin Kam Ho · ICDAR 1995