sampling using cmc 2

Tài liệu Báo cáo " Research on the optimal picket sampling interval in automated digital terrain model creation by using digital photogrammetry " ppt

Ngày tải lên : 13/02/2014, 12:20

... 754 460 323 Error pickets Number % 499 20 .86 301 22 .70 174 23 .08 111 23 .91 66 20 .43 600 RMSE (m) 1.78 1. 92 2.04 2. 15 2. 24 2. 4 2. 2 400 RMSE (m) PSI (m) 1.8 1.6 20 0 1.4 1 .2 45 60 80 100 120 PSI (m) ... 1935 24 9 12. 87 0.93 50 7 02 87 12. 39 1. 02 70 3 42 51 14.91 1.14 90 21 0 22 10.47 1.17 Duong Lam 2: hill and paddy-field sub-area 30 1786 538 30. 12 1.07 50 616 1 62 26.30 1.15 70 320 57 17.81 1 .22 90 ... sub-area 20 70 24 6 11.88 930 86 9 .25 506 48 9.48 3 42 25 7.31 Ba Vi 2: mountainous sub-area 24 44 535 21 .89 1 120 21 8 19.46 650 154 23 .69 420 101 24 .05 600 RMSE (m) 0.91 0.94 0.95 0.98 1 .29 1.44 1.58...

9
462
1

Báo cáo khoa học: "Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling" pptx

Ngày tải lên : 23/03/2014, 19:20

... p(Y1 |µ1 ) p(Y2 | 2 , Y2 > y3 ) p(Y3 |µ3 , Y3 < y2 ) Y1 2. 3799 2. 3799 2. 3799 -1.4 823 -1.4 823 -1.4 823 Y2 -1.0000 -0.7591 -0.7591 -0.7591 2. 17 72 2.17 72 Y3 0 -1.0 328 -1.0 328 -1.0 328 1.0107 Table ... each associated with an observed frequency in the lexicon: x1 x2 y11 y 12 y13 y14 y21 y 22 C1 0 C2 1 C3 0 1 C4 0 0 C5 0 0 Freq 0 Table 2: A Stochastic OT grammar with inputs The three ordering relations ... University Press Keller, F and Asudeh, A (20 02) Probabilistic learning algorithms and Optimality Theory Linguistic Inquiry, 33 (2) :22 5 24 4 Liu, J S (20 01) Monte Carlo Strategies in Scientiﬁc Computing...

8
288
0

Báo cáo toán học: " Video analysis-based vehicle detection and tracking using an MCMC sampling framework" potx

Ngày tải lên : 20/06/2014, 20:20

... h /2 above si,k , Ra = {xi,k − w /2 ≤ x < xi,k + w /2; yi,k − h /2 ≤ y < yi,k }, and Rb is the region of the same size below si,k , Rb = {xi,k − w /2 ≤ x < xi,k + w /2; yi,k < y ≤ yi,k + h /2} 5 .2 Motion-based ... York, 22 25 September 20 02 17 J Arrospide, L Salgado, M Nieto, F Jaureguizar, in Proceedings of the IEEE International Conference on Image Processing, San Diego, California, 12 15 October 20 08 ... projection matrices at times k1 and k2 are, respectively, P1 = K[I|0] P2 = KRx (α)Ry (β)[I| − C2 ] (20 ) 26 The homography H relates the projections, x1 and x2 , of a 3D point, X ∈ π0 , in two diﬀerent...

69
372
0

Báo cáo hóa học: " Particle Filter Design Using Importance Sampling for Acoustic Source Localisation and Tracking in Reverberant Environments" pot

Ngày tải lên : 22/06/2014, 23:20

... Williamson 0. 02 0.01 −0.01 −0. 02 0.5 1.5 2. 5 3.5 4.5 5.5 4.5 5.5 4.5 5.5 Time (s) x-position (m) (a) 0.5 1.5 2. 5 3.5 Time (s) y-position (m) (b) 0.5 1.5 2. 5 3.5 Time (s) (c) Figure 2: SBF-IS tracking ... algorithm 0.5 ACKNOWLEDGMENTS 0 0.06 0.13 0 .21 0 .28 0.35 0. 42 0.50 0.57 0.64 0.71 0.79 T60 (s) RMSE (m) (a) 0.5 REFERENCES 0 0.06 0.13 0 .21 0 .28 0.35 0. 42 0.50 0.57 0.64 0.71 0.79 T60 (s) (b) Figure ... Signal Processing, vol 50, no 2, pp 174–188, 20 02 [ 12] A Doucet, N de Freitas, and N Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer, New York, NY, USA, 20 01 E A Lehmann and R C...

9
318
0

Báo cáo khoa hoc:" Bayesian inference in the semiparametric log normal frailty model using Gibbs sampling" docx

Ngày tải lên : 09/08/2014, 18:21

... Wiley, New York, 19 92 [28 ] Sorensen D.A., Andersen S., Gianola D., Korsgaard LR., Bayesian inference in threshold models using Gibbs sampling, Genet Sel Evol 27 (1995) 22 9 -24 9 [29 ] Tanner M.A., ... thesis, University of Aarhus, Denmark, 1997 [22 ] Korsgaard I.R., Andersen A.H., The additive genetic gamma frailty model, Scand J Stat 25 (1998) 25 5 -26 9 [23 ] Liu J.S., Wong W.H., Kong A., Covariance ... R Stat Soc B 34 (19 72) 187 -22 0 [6] Dellaportas P., Smith A.F.M., Bayesian inference for generalized linear and proportional hazards models via Gibbs sampling, Appl Statist 42 (1993) 443-459 [7]...

16
243
0

Báo cáo khoa hoc:" Gibbs sampling in the mixed inheritance model using graph theory" pot

Ngày tải lên : 09/08/2014, 18:21

... models using Gibbs sampling, Genet Sel Evol 27 (1995) 22 9 -24 9 [22 ] Wang C.S., Rutledge J.J., Gianola D., Marginal inference about variance components in a mixed linear model using Gibbs sampling, ... the simulated data set were: ae= 85, 6= 15, u a 10, f 0 .2 and cy m 2= 32, where cy mg is the expected major gene variance calculated as 02= 2p(1 — p)a In the simulation, as well as in the ... (1990) 26 9 -28 2 [16] Lauritzen S.L., Spiegelhalter D.J., Local computations with probabilities on graphical structures and their application to expert systems, J R Stat Soc Series B 50 (1988) 157 -22 4...

22
224
0

Báo cáo sinh học: " Bayesian analysis of genetic change due to selection using Gibbs sampling" pps

Ngày tải lên : 09/08/2014, 18:21

... same form as in [25 ], except i that, in [26 ] and subsequent formulae, v -2 and S2= (i e, a) = Generation of random using Gibbs samples from = marginal posterior distributions sampling In this ... distribution [ 12] by sampling from the conditional distributions !21 !, [23 ] and !25 ! The Gibbs sampler works as follows: (i) set arbitrary initial values for b, a and E; (ii) sample from !21 !, and ... data models using Gibbs sampling J Am Stat Assoc 85, 9 72- 985 Gelfand A, Smith AFM, Lee TM (19 92) Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling J Am...

28
320
0

Báo cáo sinh học: " Bayesian inference in threshold using Gibbs sampling DA Sorensen" pot

Ngày tải lên : 09/08/2014, 18:21

... chain 1, o ,2= 2. 0, Q = a 0.5, t -0.8, t -0.5, t -0 .2, t 0.1 For chain 2, estimates from Andersen et al (1988) were used, and these were J= 1.0, fl or= 0.1, t -1.05, t -0. 92, t -0. 62, t -0.34 ... data models using Gibbs sampling J Am Stat Assoc 85, 9 72- 985 Gelfand A, Smith AFM, Lee TM (19 92) Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling J Am ... J Am Stat Assoc 82, 528 -540 CS, Rutledge JJ, Gianola D (1993) Marginal inferences about variance components in a mixed linear model using Gibbs sampling Genet Sel Evol 21 , 41- 62 Wang CS, Rutledge...

21
260
0

Báo cáo sinh học: " Computing marginal posterior densities of genetic parameters of a multiple trait animal model using Laplace approximation or Gibbs sampling" doc

Ngày tải lên : 09/08/2014, 18:22

... this kernel is 22 ) 7r (2 91 f2r ,22 1 2, which leads to the following approximation of equation [4]: In expression [6] S2 and J(6’-r) depend on an explicit specification of !2( !) 22 , T Following ... Bayesian inference in threshold models using Gibbs sampling Genet Sel Evol 27 , 22 9 -24 9 Sorensen D (1996) Gibbs sampling in quantitative genetics Internal report 82, Danish Institute of Animal Science, ... Sel Evol 28 , 505- 529 Ducrocq V, Chapuis H (1997) Generalizing the use of the canonical transformation for the solution of multivariate mixed model equations Genet Sel Evol 29 , 20 5 -22 4 Garcia-Cortes...

24
230
0

Báo cáo sinh học: "Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance" ppsx

Ngày tải lên : 14/08/2014, 13:21

... 0. 92 0.95 0.70 0.98 RMSE 0.00–0.33 0.34–0.66 0.67–1.00 0.05 0.03 0. 02 0. 02 0.03 0.06 0. 02 0. 02 0. 02 0.05 0.03 0. 02 0.04 0.03 0. 02 0.03 0.03 0.03 0. 02 0. 02 0.01 0. 02 0. 02 0. 02 0. 02 0.03 0.03 0. 02 ... PEVAF4 PEVNF1 PEVNF2 0.00–0.33 0.34–0.66 0.67–1.00 0.09 0 .26 0.09 0.01 0. 32 0 .29 0.01 0.17 0.06 0.09 0.31 0.05 0.05 0 .27 0.09 0. 02 0.30 0.06 0.01 0.18 0. 02 0. 02 0.18 0. 02 0.01 0 .29 0.04 0.01 0.17 ... u,u- u {[2r4(1-r2 )2] /[(1-r2 )2 + r4]} σ g /n ˆ Cov(u, u ) r2(1+r2) σ g /n ˆ u,u 4r4(1-r2) σ g /n 2 σg ˆ ˆ Cov(u, u ) = Var( u ) 2 ˆ σ g - [Var( u )/Var(u)] σ g 2( 1-r2 )2 Var(u) = σ g Var(u) = 5PEV...

9
256
0

Báo cáo sinh học: " Multivariate Bayesian analysis of Gaussian, right censored Gaussian, ordered categorical and binary traits using Gibbs sampling" pptx

Ngày tải lên : 14/08/2014, 13:21

... expressed − V−1 V 12 V 22 1 V−1 + V−1 V 12 V−1 V−1 V 12 11 22 ·1 11 11 11 , in terms of V: R = V−1 −V 22 1 V−1 V 12 22 1 11 where V 22 1 = V 22 − V21 V−1 V 12 = R−1 From properties of the Wis 22 11 hart distribution, ... , f ), V−1 V 12 |V11 = 11 v11 ∼ N(m−m4 )×m4 Σ−1 Σ 12 , v−1 ⊗ 22 ·1 , where 22 ·1 = 22 − 21 Σ−1 Σ 12 11 11 11 and that V 22 1 ∼ Wm4 ( 22 ·1 , f − (m − m4 )) Furthermore V11 , V−1 V 12 is 11 stochastically ... ψ\R , R 22 = r 22 , (Rkk = 1)k=m−m4 +1, ,m )q1 r 22 |˜ 22 r r This results in the following algorithm: ˜ ˜ Sample a proposal value, r 22 , from the density q1 r 22 |˜ 22 Next sample r v11 and t2 as...

25
166
0

Báo cáo sinh học: "Bayesian segregation analysis of milk ﬂow in Swiss dairy cattle using Gibbs sampling" pdf

Ngày tải lên : 14/08/2014, 13:22

... Holstein Parity Breed 1st 2nd 3rd and more Brown Swiss 175 850 2. 763 0.516 21 20 5 2. 626 0. 528 73 42 2.676 0.535 Simmental N Mean SD 623 953 2. 680 0.545 22 336 2. 5 92 0.5 92 9700 2. 581 0.588 Holstein∗ ... 2 /( 2 + 2 + 2 ), repeatability, r = ( 2 + 2 )/( 2 + 2 + 2 ) and the u u pe e u pe u pe e genotypic variance due to the major gene, 2 = 2pq[a + d(p − q) ]2 + (2pqd )2 m as given in [4] 2. 2 .2 ... –0.007/0. 028 0. 023 0.018 –0.001/0.061 0. 021 0.011 –0.001/0.045 –0.001 0.005 –0.0 12/ 0.009 –0.030 0.031 –0.0 92/ 0.030 0.46 0.006 0.448/0.475 0.47 0.003 0.458/0.4 72 0 .25 0.017 0 .21 3/0 .28 3 d h ∗ Milk...

14
232
0

Báo cáo sinh học: "Phenotypic plasticity of body pigmentation in Drosophila: Computing marginal posterior densities of genetic parameters of a multiple trait animal model using Laplace approximation or Gibbs sampling" pps

Ngày tải lên : 14/08/2014, 15:21

... this kernel is 22 ) 7r (2 91 f2r ,22 1 2, which leads to the following approximation of equation [4]: In expression [6] S2 and J(6’-r) depend on an explicit specification of !2( !) 22 , T Following ... Bayesian inference in threshold models using Gibbs sampling Genet Sel Evol 27 , 22 9 -24 9 Sorensen D (1996) Gibbs sampling in quantitative genetics Internal report 82, Danish Institute of Animal Science, ... Sel Evol 28 , 505- 529 Ducrocq V, Chapuis H (1997) Generalizing the use of the canonical transformation for the solution of multivariate mixed model equations Genet Sel Evol 29 , 20 5 -22 4 Garcia-Cortes...

24
209
0

Báo cáo sinh học: "Marginal inferences about variance components in a mixed linear model using Gibbs sampling" ppsx

Ngày tải lên : 14/08/2014, 20:20

... Springer-Verlag, New York, 21 0 -23 8 Harville DA (1974) Bayesian inference for variance components using only error contrasts Biometrika 61, 383-385 Henderson CR rics 9, 22 6 -25 2 (1953) Estimation of ... Z the conditional density of uflin [ 12] is each u i can be as: Ns!x&dquo;i/, e diagonal, so [31] is the kernel of a an Since q s2/ _ ,2 ,2 , X2 then q S!X ;2, also a expressible as: multiple of ... conditional distributions sampling scheme X form: = [9- 12] are essential for implementing the Gibbs OBTAINING THE MARGINAL DISTRIBUTIONS USING GIBBS SAMPLING Gibbs sampling In many Bayesian problems,...

22
249
0

TEXT MINER FOR HYPERGRAPHS USING OUTPUT SPACE SAMPLING

Ngày tải lên : 24/08/2014, 12:21

... 10 11 12 13 14 15 21 796.7 23 .1 1400.9 28 5.8 78.0 1343.5 26 4.3 22 4.4 20 8.6 27 .9 145.5 15.8 10.5 0 0 0 89 22 .6 52. 8 327 .5 21 .2 14.8 331.9 127 .7 10 .2 220 .9 10 1309.9 58.4 31.3 823 .8 931.4 129 .9 733.0 ... 11 3 .2 Frequent Itemset Mining 15 3 .2. 1 Apriori 15 3 .2. 2 ECLAT 19 3 .2. 3 Output Space Sampling 22 3 .2. 3.1 Personalization Variant 26 3 .2. 3 .2 Personalization ... 19.8 0 3.4 12. 6 0 0 10941.4 12 6.1 0 0 603 .2 0 0 13 27 .4 0 81.7 60.8 0 0 0 14 197.4 3.1 990 .2 337.7 0 0 23 5.1 0 3074.1 15 1366.3 25 03.4 8.1 5.6 26 .5 0 588.7 190.1 54 .2 92. 5 151.6 377 .2 30 Table...

53
234
0

Sampling efficiency of longlines for shortraker and rougheye rockfish using observations from a manned submersible

Ngày tải lên : 04/09/2015, 12:50

... 4.8 4.4 2. 2 6.0 2. 6 1.5 3.0 2. 3 3.0 2. 0 3.7 6.0 300 900 900 1 ,20 0 300 1 ,20 0 1 ,20 0 1 ,20 0 900 600 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 900 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 1 ,20 0 23 13 10 ... 23 13 10 85 45 106 76 10 12 20 38 36 27 39 30 32 18 26 26 15 48 35 26 7.7 1.1 1.0 7.1 0.3 3.7 8.8 6.3 1.1 0.5 1.0 1.7 3 .2 3.0 2. 2 3 .2 2.5 3.6 1.5 2. 2 2. 2 1 .2 4.0 2. 9 2. 2 both the longline sets ... Free-swimming Hook fraction Sites visited two times 0.61 0.55 0. 02 0.46 0.54 0.50 24 24 24 22 22 22 1 .27 0.74 0.01 0.43 0.65 0.44 0.0 02 0.009 0.938 0. 025 0.007 0.013 Catch Free-swimming Hook fraction Catch...

10
299
0

Efficient computing budget allocation by using regression with sequential sampling constraint

Ngày tải lên : 05/10/2015, 19:02

... the 20 th Customer Modified Simple Simple SDBA SDBA Regression Sampling 4.31058 4.31587 4. 321 31 4. 324 29 4. 326 24 4.31615 4. 320 69 4. 328 48 4.33705 4.3 323 8 3.94 422 3.93716 3.9 423 3 3.93910 3.9 424 4 4 .26 865 ... Setting 19 3.1 .2 Sampling Distribution of Design Performance 21 3 .2 SOLUTIONS TO LEAST SQUARES MODEL 27 3 .2. 1 Lower Bound of Objective Function 27 3 .2. 2 Linear Underlying ... 15000 20 000 25 000 Modified SDBA SDBA -0.03585 -0.04114 -0.04658 -0.04956 -0.05151 -0.04143 -0.04596 -0.05376 -0.0 623 2 -0.05765 Simple Regression 0.33050 0.33757 0.3 324 0 0.335 62 0.3 322 9 Simple Sampling...

71
242
0

Recovering mailbox user using dial tone recovery

Ngày tải lên : 14/08/2012, 08:51

... Quá trình Dismount thành công, chọn Go back to task center 6/17 /20 11 1:47 PM Recovering Mailbox User Using Dial-Tone Recovery 22 of 26 http://msopenlab.com/index.php?option=com_content&view=article&id= ... database 6/17 /20 11 1:47 PM Recovering Mailbox User Using Dial-Tone Recovery 25 of 26 http://msopenlab.com/index.php?option=com_content&view=article&id= - Dùng Microsoft Outlook check mail u1 u2 thấy ... Mount or Dismount databases in the recorvery storage group 6/17 /20 11 1:47 PM Recovering Mailbox User Using Dial-Tone Recovery 21 of 26 http://msopenlab.com/index.php?option=com_content&view=article&id=...

26
635
0

Using Net Beans 5.0

Ngày tải lên : 17/08/2012, 09:18

... Files 21 Creating Java Files 22 Using File Templates 22 Using GUI Templates .23 Editing Java Files in the Source Editor 23 Code Completion 24 Code Templates ... Templates 25 Special Code Template Syntax 26 Editor Hints .26 Refactoring 26 Working With Import Statements .28 Formatting Java Source Code 29 Navigating in ... Editor 29 Navigating Within a Java File 29 Search and Selection Tools .31 Navigating Between Documents 31 Configuring the Editor 32 Building Applications 35 Using...

104
775
0