Learning vector quantization, multi layer perceptron and dynamic programming: comparison and cooperation
X. Driancourt, Léon Bottou, Patrick Gallinari · 2002
The authors compare dynamic programming, or DP, multilayer perceptron, time-delay neural network, or TDNN, shift-tolerant learning vector quantization, and K-means on a multispeaker isolated-word small vocabulary problem. A suboptimal cooperation between TDNN and other algorithms is proposed and successfully tested on the problem. The combination of TDNN and DP performs especially well. An optimal cooperation method between DP and some other algorithms is proposed.>