专利名称：Conditional maximum likelihood estimation
英语口试考什么>david choi
of naïve bayes probability models
cw电视台发明人：Ciprian Chelba,Alejandro Acero
申请号：US10941399
申请日：20040915
2011考研时间公开号：US07624006B2
公开日：
pair是什么意思
mdrt
20091124
专利内容由知识产权出版社提供
专利附图：
摘要：A statistical classifier is constructed by estimating Naïve Bayes classifiers such that the conditional likelihood of class given word quence is maximized. The classifier is constructed using a rational function growth transform implemented for Naïve Bayes
classifiers. The estimation method tunes the model parameters jointly for all class such that the classifier discriminates between the correct class and the incorrect ones for a given training ntence or utterance. Optional parameter smoothing and/or convergence speedup can be ud to improve model performance. The classifier can be integrated into a speech utterance classification system or other natural language processing system.合同英语
申请人：Ciprian Chelba,Alejandro Acero
地址：Seattle WA US,Bellevue WA US
国籍：US,US
代理机构：Westman, Champlin & Kelly, P.A.广州出国中介
代理人：Steven M. Koehler
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