首页>
外国专利>
Training machine learning by sequential conditional generalized iterative scaling
Training machine learning by sequential conditional generalized iterative scaling
展开▼
机译：通过顺序条件广义迭代缩放训练机器学习
展开▼
页面导航
摘要
著录项
相似文献
摘要
A system and method facilitating training machine learning systems utilizing sequential conditional generalized iterative scaling is provided. The invention includes an expected value update component that modifies an expected value based, at least in part, upon a feature function of an input vector and an output value, a sum of lambda variable and a normalization variable. The invention further includes an error calculator that calculates an error based, at least in part, upon the expected value and an observed value. The invention also includes a parameter update component that modifies a trainable parameter based, at least in part, upon the error. A variable update component that updates at least one of the sum of lambda variable and the normalization variable based, at least in part, upon the error is also provided.
展开▼
