@inproceedings{1cf74164189b4cbca971f7fa68111436,

title = "Adaptive language acquisition using incremental learning",

abstract = "An incremental approach to solving an algebraic formulation of the language acquisition problem is presented. This problem consists of solving a system of linear equations, where each equation represents a sentence/action pair and each variable denotes a word/action association. The algebraic model for language acquisition has been shown to provide advantages over the relative frequency estimate models when dealing with small-sample statistics. In this paper, two incremental methods are investigated to solve the system of linear equations. The incremental methods provide a regularized solution that is shown experimentally to be advantageous over the pseudo-inverse solution for classifying test data. In addition, the methods are more efficient with respect to computational and memory requirements.",

author = "K. Farrell and Mammone, {R. J.} and Gorin, {A. L.}",

year = "1993",

language = "American English",

isbn = "0780309464",

series = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

publisher = "Publ by IEEE",

pages = "I--501--I--504",

booktitle = "Plenary, Special, Audio, Underwater Acoustics, VLSI, Neural Networks",

note = "1993 IEEE International Conference on Acoustics, Speech and Signal Processing ; Conference date: 27-04-1993 Through 30-04-1993",

}