Maximum Entropy Markov Models for Information Extraction and Segmentation
1.The use of state-observation transition functions rather than the separate transition and observation functions in HMMs allows us to model transitions in terms of multiple, nonindependent features of observations, which we believe to be the most valuable contribution of the present work.
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我喜欢程序员,他们单纯、固执、容易体会到成就感;面对困难,能够不休不眠;面对压力,能够迎接挑战。他们也会感到困惑与傍徨,但每个程序员的心中都有一个比尔盖茨或是乔布斯的梦想,用智慧把属于自己的事业开创。其实我是一个程序员[=.=]
我喜欢程序员,他们单纯、固执、容易体会到成就感;面对困难,能够不休不眠;面对压力,能够迎接挑战。他们也会感到困惑与傍徨,但每个程序员的心中都有一个比尔盖茨或是乔布斯的梦想,用智慧把属于自己的事业开创。其实我是一个程序员[=.=]