Developmental learning of memory-based perceptual models

被引：1

作者：

Ivanov, YA ^{[1
]}

Blumberg, BM ^{[1
]}

机构：

[1] Honda R&D Amer, Fundamental Res Labs, Boston, MA 02111 USA

来源：

2ND INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING, PROCEEDINGS | 2002年

关键词：

D O I：

10.1109/DEVLRN.2002.1011833

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper reviews an on-line learning algorithm for incremental learning of memory-based utterance models. The simple core algorithm is augmented with a strategy for selecting the compression set - a subset of the input data that possesses some optimality characteristics. These sets are again found incrementally. Several strategies are formulated and empirically compared on three standard data sets. The algorithm is used as a perceptual learning component of an adaptive autonomous agent.

引用

页码：165 / 171

页数：7

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