... Proc. of 26 th DAGM-Symposium. Springer, 22 0 22 7. HAASDONK, B. and BURKHARDT, H. (20 07): Invariant kernels for pattern analysis and machine learning. Machine Learning, 68, 35– 61. SCHÖLKOPF, B. and ... Networks, 12 (5), 987–997. TITSIAS, M.K. and LIKAS, A. (20 02) : Mixtures of Experts Classification Using a Hierarchi- cal Mixture Model. Neural Computation, 14 , 22 21...
Ngày tải lên: 05/08/2014, 21:21
... dendrograms Q 2 0 1 3 4 12 20 32 64 0 f 0022 256 1 0 f 10 0000 3 01f 00 000 4 200f 3422 12 2003f 322 20 2004 3 f 21 32 50 02 2 2 f 5 64 6002 2 1 5 f Fig. 1. 2-adic valuations for D. 0 1 0 1 0 1 2 0 1 3 0 1 4 0 1 5 0 1 6 0 1 0 64 32 4 20 12 ... random initialization data set COPK-Means ssALife with U*C Atom 71 100 Chainlink 65. 7 10 0 Hepta 10 0 10 0 L...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 1 Part 8 ppsx
... case 0 .84 0. 68 0 .82 0 .84 0 .83 0. 68 0.72 0 .88 0. 91 0 .85 0 .85 0. 68 0. 78 0.77 0.72 0 .89 0.66 0.96 0.66 0.93 0.90 0.73 0 .87 0 .88 0 .83 0. 78 0.64 0 .86 0. 78 [ 0.79 0 .89 0. 91 0. 48 0.57 0.49 0.60 0.62 0. 71 0. 71 0.64 0.69 0. 58 0.67 0.66 0.65 0. 61 0.74 0.75 0.72 0.69 0. 58 0.53 0.65 0.45 0.70 0.76 0.75 0.73 umbh tie textiles bag wat mous scul pens 0 ....
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 1 pot
... watermark database. Table 1. Averaged precision and recall at N /2 for the watermark database. Classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14 N 322 11 5 13 9 71 91 44 19 7 12 6 99 33 14 31 17 416 P(N /2) .4 92 .24 3 ... 416 P(N /2) .4 92 .24 3 . 21 4 .14 4 .10 9 .24 4 .17 3 .097 .4 42 .068 .19 0 .8 02 .556 .28 3 R(N /2) . 528 .13 9 .3 02 .19 7 .088 .1 82 .1 52 .19 1...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... 20 01), FSG (Kuramochi and Karypis 20 01), MoSS/MoFa (Borgelt and Berthold 20 02) , gSpan (Yan and Han 20 02) , Closegraph (Yan and Han 20 03), FFSM (Huan et al. 20 03), and Gaston (Nijssen and Kok 20 04). A ... (1988b): LM A O = [ˆu W 2 ˆu/ ˆ V 2 ] 2 T 22 −(T 21 A ) 2 ˆvar( ˆ U) , (6) LM A U = [ˆu B BW 1 y] 2 H rho −H TU ˆvar( ˆ T)H TU , (7) where T 2...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
... preparation (data= d1, variable='lname', method='asoundex') lname asoundex.lname 11 525 6 WESTERHEIDE W 236 20 0001 BESTEWEIDE B 233 20 00 02 WESTERWELLE W 236 3. 3 Candidate selection candidates (data1 , ... retains only 83 candidates. > candidates (data1 =d1.prep, data2 =d2.prep, method='blocking',selvars1='asoundex.lname') > candidates (...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 4 doc
... winners). Misclassification J4.8 J4.8(cv) RPart0 RPart1 QUEST CTree J4.8 029 911839 J4.8(cv) 40 8911 941 RPart0 560710735 RPart1 641 08 625 QUEST 42 2 50 720 CTree 76789037 26 20 27 38 49 37 Complexity J4.8 J4.8(cv) RPart0 ... RPart0 RPart1 QUEST CTree J4.8 010 020 3 J4.8(cv) 17 0 0 0 5 3 25 RPart0 18 18 0 0 13 15 64 RPart1 18 18 16 0 14 15 81 QUEST 15 13 5 4 0 10 47 CT...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 5 pps
... (4 .5% ) Global mean typical application day cluster number unknown up unknown down p2p up p2p down web up web down 0 5 10 15 20 25 0 1 2 3 4 5 6 x 10 6 0 5 1 0 1 5 2 0 2 5 0 0 .5 1 1 .5 2 2 .5 x ... 20 30 40 50 60 70 80 0 0 .2 0.4 0.6 0.8 1 Typical day 12 0 5 10 15 20 25 0 1 2 3 4 5 x 10 7 0 5 1 0 1 5 2 0 2 5 0 2 4 6 8 10 x 10 6 cluster 6, a...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 6 potx
... 361 108 560 1 8 26 109 36 0 26 285183 18 16 923 1 021 51 1948 123 47 02 1 924 30044079003 5 26 98 1858 24 7198 924 00 1898 26 3 26 62 8 200005145 1775 22 800903 921 91 060 100 56 1 922 70 460 0 1 969 9 761 860 1847 1 8 26 18 161 9481 924 1858189817751 922 1 969 1847 108 560 1 8 26 109 36 0 26 285183 18 16 923 1 021 51 1948 123 47 02 1 924 30044079003 5 26 98 1858 24 71...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 7 docx
... Identification. Socimetry, 28 , 27 7 29 9. OKADA, A. (20 03): Using Additive Conjoint Measurement in Analysis of Social Network Data. In: M. Schwaiger, and O. Opitz (Eds.): Exploratory Data Analysis in Empirical Research. ... 2 Characteristic values Actor (Family) 4 .23 3 3.418 1 Acciaiuoli 0. 129 0.134 2 Albizzi 0 .21 0 0.300 3 Barbadori 0. 179 0.053 4 Bischeri 0. 328 -0 .26...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 8 docx
... 7. 78 24 (2) .24 (1) 12. 84 32 (2) . 32 (1) Type of building 9.09 . 08 (2) 22 (3) 8. 36 03 (2) 12 (3) .14 (1) .15 (1) Outside facilities 7.40 .25 (1) .00 (2) 12. 11 . 28 (1) 09 (2) 25 (3) 19 (3) (* The ... (1) 37 (3) 26 (3) Beach 9 .83 10 (2) .35 (1) 5.56 09 (2) .26 (1) 25 (3) 17 (3) Hotel services Leisure activities 11. 72 20 (6) 02 (2) 7. 52 04 (6) . 02 (2) .04 (2) .20...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf
... pseudo R 2 1 -131. 49 28 0 .97 28 9. 97 .00 .23 2 -117.04 27 6. 09 29 7. 09 . 09 .81 3 -100 .96 26 7. 92 300. 92 .08 . 92 4 - 89. 76 26 9. 52 314. 52 .11 . 92 5 - 82. 62 2 79 .24 336 .24 .11 .95 Classifying Contemporary ... biased T 04s 8 .93 2. 10 2. 59 biased T 05s 10. 59 -8.75 -4.70 biased TM score 3.67 4.05 .88 10 . 29 DM score 2. 71 1.03 -7.87 8 .94 EM...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 2 Part 10 docx
... ’000) 20 00 20 01 20 02 2003 20 04 0 25 50 75 100 125 150 Box Jenkins (# 10) SE (in ’000) 20 00 20 01 20 02 2003 20 04 0 25 50 75 100 125 150 Linear Regression (# 2) SE (in ’000) 20 00 20 01 20 02 2003 20 04 0 25 50 75 100 125 150 VAR(4)-Model ... 0.00.51.01. 52. 02. 53.0 ARL 3 42. 18 341. 42 339. 42 334. 52 326 .63 316.80 306. 92 SDRL 338.74 338. 62...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 3 pps
... Weibull K=2 K =3 K=4 K=5 separate 233 39.27 232 02. 23 230 40.01 229 43. 11 main.g 233 55.66 230 58.25 22971.86 228 63. 43 main.p 235 03. 73 233 68.77 231 65.60 230 68.47 int.gp 235 72.21 234 22.51 233 05. 63 230 75.76 main.gp ... 128 5 4 4 4 120 120 126 3 2 15 10 13 105 108 107 32 322229497 93 436 3029747979 5414 233 676564 ±10 234 3 231 787075 35 9 535 4455142 48564672 435 19 590...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 5 pdf
... weight- ings. Rand cRand k tf tf-idf tf tf-idf 3 0.48 0.49 0. 03 0. 03 4 0 .51 0 .52 0. 03 0. 03 5 0 .54 0. 53 0.02 0.02 6 0 .55 0 .56 0.02 0. 03 Average 0 .52 0 .52 0.02 0. 03 ments are rather low, indicating that ... the percentage identified by humans. Senate size 03 59 Documents 0 255 739 0 Percentage 0.000 25. 654 74 .34 6 0.000 Human Percentage 2.116 27 .30 6 70 .55 1 0.02...
Ngày tải lên: 05/08/2014, 21:21