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结构线性模型

Structured Linear Models
课程网址: http://videolectures.net/iiia06_pereira_slm/  
主讲教师: Pereira Fernando C. N
开课单位: 谷歌公司
开课时间: 2007-02-25
课程语种: 英语
中文简介:
在过去的五年中,我们已经能够将线性分类器的理论扩展到结构预测问题,结合区分学习和结构概率模型(如隐马尔可夫模型)的优点。我将回顾这些模型及其学习算法,并举例说明它们在文本处理中的应用,重点是从生物医学文本中提取信息。
课程简介: Over the last five years, we have been able to extend the theory of linear classifiers to structure prediction problems, combining the benefits of discriminative learning and of structured probabilistic models like hidden Markov models. I will review these models and their learning algorithms, and exemplify their use in text processing, with a focus on information extraction from biomedical text.
关 键 词: 线性分类器; 歧视性学习; 概率模型; 学习算法
课程来源: 视频讲座网
最后编审: 2021-01-31:nkq
阅读次数: 44