<li id="qkaq0"></li> <rt id="qkaq0"></rt>
CRFsuite is a very fast implmentation of the Conditional Random Fields (CRF) algorithm. It handles tens of thousands sentences in merely one second. In comparison to CRF++, CRFSuite yields substantially better efficiency performance
標(biāo)簽： implmentation Conditional algorithm CRFsuite
上傳時(shí)間： 2013-12-19
上傳用戶：gououo
For estimation and prediction of random 2 dimensional motion using Kalman filter in MATLAB
標(biāo)簽： dimensional estimation prediction Kalman
上傳時(shí)間： 2013-12-23
上傳用戶：helmos
Generate Possion Dis. step1:Generate a random number between [0,1] step2:Let u=F(x)=1-[(1/e)x] step3:Slove x=1/F(u) step4:Repeat Step1~Step3 by using different u,you can get x1,x2,x3,...,xn step5:If the first packet was generated at time [0], than the second packet will be generated at time [0+x1],The third packet will be generated at time [0+x1+x2], and so on …. Random-number generation 1.static method random from class Math -Returns doubles in the range 0.0 <= x < 1.0 2.class Random from package java.util -Can produce pseudorandom boolean, byte, float, double, int, long and Gaussian values -Is seeded with the current time of day to generate different sequences of numbers each time the program executes
標(biāo)簽： Generate Possion between random
上傳時(shí)間： 2017-05-25
上傳用戶：bibirnovis
Zero forcing Equalizer random channel, input, noise
標(biāo)簽： Equalizer forcing channel random
上傳時(shí)間： 2014-03-09
上傳用戶：xiaodu1124
This file is a function under matlab which allow to compute several statistical parameter of random signal such as variance, power, mean values, std, ...
標(biāo)簽： statistical parameter function compute
上傳時(shí)間： 2017-06-27
上傳用戶：ruixue198909
a tsp problem for solving tsp with random cities
標(biāo)簽： tsp problem solving cities
上傳時(shí)間： 2013-12-29
上傳用戶：gououo
A basic knowledge about Markov Random Fields (MRF) and its applications.
標(biāo)簽： applications knowledge Markov Fields
上傳時(shí)間： 2017-07-18
上傳用戶：lvzhr
It is a crc ieee 802.3 random data gen
標(biāo)簽： random 802.3 ieee data
上傳時(shí)間： 2017-07-22
上傳用戶：2525775
In this paper, the feasibility of replacing a chaos source by an equivalent digital pseudo-random generator realized using Linear Feedback Shift Register (LFSR) is studied. Particular emphasis is given on the digital implementation Piece-Wise Linear A ffine Maps (PWAM). As an application, an FPGA implementation of four different maps has been experimentally verifi ed in a FM-DCSK test radio system.
標(biāo)簽： pseudo-random feasibility equivalent replacing
上傳時(shí)間： 2013-12-13
上傳用戶：從此走出陰霾
Another generator of uniformly distributed random numbers
標(biāo)簽： distributed generator uniformly Another
上傳時(shí)間： 2013-12-23
上傳用戶：ainimao
蟲(chóng)蟲(chóng)下載站版權(quán)所有 京ICP備2021023401號(hào)-1
