state of art language modeling METHODS: An Empirical Study of Smoothing Techniques for Language Modeling.pdf BLEU, a Method for Automatic Evaluation of Machine Translation.pdf Class-based n-gram models of natural language.pdf Distributed Language Modeling for N-best List Re-ranking.pdf Distributed Word Clustering for Large Scale Class-Based Language Modeling in.pdf
標(biāo)簽： Techniques Empirical Smoothing Language
上傳時(shí)間： 2016-12-26
上傳用戶：zhuoying119
Numerical Analysis\Numerical Analysis-Numerical METHODS Using MATLAB
標(biāo)簽： Analysis-Numerical AnalysisNumerical Numerical METHODS
上傳時(shí)間： 2013-11-30
上傳用戶：yd19890720
work with the interop METHODS of .NET to access this API.
標(biāo)簽： interop METHODS access work
上傳時(shí)間： 2017-01-16
上傳用戶：shinesyh
communication system simulation METHODS using matlab
標(biāo)簽： communication simulation METHODS system
上傳時(shí)間： 2017-01-20
上傳用戶：gaojiao1999
個(gè)人網(wǎng)路蒐集的數(shù)值方法（Numerical METHODS）教程投影片，是英文的投影片
標(biāo)簽： Numerical METHODS 教程 投影
上傳時(shí)間： 2014-01-16
上傳用戶：lhc9102
documentation for optimal filtering toolbox for mathematical software package Matlab. The METHODS in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標(biāo)簽： documentation mathematical for filtering
上傳時(shí)間： 2014-01-20
上傳用戶：changeboy
documentation for optimal filtering toolbox for mathematical software package Matlab. The METHODS in the toolbox include Kalman filter, extended Kalman filter and unscented Kalman filter for discrete time state space models. Also included in the toolbox are the Rauch-Tung-Striebel and Forward-Backward smoother counter-parts for each filter, which can be used to smooth the previous state estimates, after obtaining new measurements. The usage and function of each method are illustrated with five demonstrations problems. 1
標(biāo)簽： documentation mathematical for filtering
上傳時(shí)間： 2013-12-10
上傳用戶：zxc23456789
an introduction to boundary element METHODS一書源碼
標(biāo)簽： introduction boundary element METHODS
上傳時(shí)間： 2017-02-28
上傳用戶：zjf3110
an introduction to boundary element METHODS一書源碼，unix系統(tǒng)使用
標(biāo)簽： introduction boundary element METHODS
上傳時(shí)間： 2017-02-28
上傳用戶：gaojiao1999
cordic METHODS describe essentially the same algorithm that with suitably chosen inputs can be used to calculate a whole range of scientific functions including sin, cos, tan, arctan, arcsin, arccos, sinh, cosh, tanh, arctanh, log, exp, square root and even multiply and divide. the method dates back to volder [1959], and due to its versatility and compactness, it made possible the microcoding of the hp35 pocket scientific calculator in 1972. here is some code to illustrate the techniques. ive split the METHODS into three parts linear, circular and hyperbolic. in the hp35 microcode these would be unified into one function (for space reasons). because the linear mode can perform multiply and divide, you only need add/subtract and shift to complete the implementation. you can select in the code whether to do the multiples and divides also by cordic means. other multiplies and divides are all powers of 2 (these dont count). to eliminate these too, would involve ieee hackery.
標(biāo)簽： essentially algorithm describe suitably
上傳時(shí)間： 2017-03-02
上傳用戶：litianchu
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