Sixth International Conference on Spoken Language Processing
(ICSLP 2000)

Beijing, China
October 16-20, 2000

Multiple Decision-Tree Strategy for Input-Error Robustness: A Simulation of Tree Combinations

Kazuhide Yamamoto, Eiichiro Sumita

ATR Spoken Language Translation Research Laboratories Hikaridai, Seika-cho, Soraku-gun, Kyoto, Japan

This paper illustrates the characteristics of the multiple decision-tree (MDT) model, which we proposed in a previous work. MDT is an extension of the decision-tree model and is proposed for its robustness against input uncertainty. We present simulation results to show that the MDT model is task-independent and outperforms both the conventional decision-tree model and the majority model against noisy inputs.

Full Paper

Bibliographic reference.  Yamamoto, Kazuhide / Sumita, Eiichiro (2000): "Multiple decision-tree strategy for input-error robustness: a simulation of tree combinations", In ICSLP-2000, vol.1, 489-492.