Data Analysis Machine Learning and Applications Episode 2 Part 1 pot

Data Analysis Machine Learning and Applications Episode 2 Part 1 pot

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

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Data Analysis Machine Learning and Applications Episode 2 Part 6 potx

Data Analysis Machine Learning and Applications Episode 2 Part 6 potx

... 3 61 108560 1 826 10 936 026 28 518 3 18 16 923 1 0 21 51 1948 12 3 47 02 1 924 30044079003 526 98 18 58 24 719 8 924 00 18 98 26 326 628 20000 514 5 17 75 22 800903 9 21 910 6 010 056 1 922 704600 19 69 97 618 60 18 47 1 826 18 1 619 4 81 924 18 5 818 9 817 7 51 922 19 6 918 47 10 8560 1 826 10 936 026 28 518 3 18 16 923 1 0 21 51 1948 12 3 47 02 1...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx

Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx

... by Anselin (19 88b): 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 21 A = tr[W 2 W 1 A 1 +W  2 W 1 A 1 ], ... 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), F...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 3 pps

Data Analysis Machine Learning and Applications Episode 2 Part 3 pps

... O=0.5 W 2 W 2 , U=0.5 0 0.05 0 .1 0 .15 0 .2 0 0 .1 0 .2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 U,O power c) SARAR (1, 1): LM A W 1 W 1 , O=0.5 W 1 W 1 , U=0.5 W 2 W 2 , O=0.5 W 2 W 2 , U=0.5 0 0.05 0 .1 0 .15 0 .2 0 0 .1 0 .2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 U,O correct ... O=0.5 W 1 W 1 , U=0.5 W 2 W 2 , O=0.5 W 2 W 2 , U=0.5 0 0.05 0 .1 0 .15 0 .2 0 0 .1...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 4 doc

Data Analysis Machine Learning and Applications Episode 2 Part 4 doc

... 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 CTree 18 14 3 2 8 0 45  86 64 24 6 42 43 Table 3. Median linear ... J4.8(cv) RPart0 RPart1 QUEST CTree  J4.8 029 911 839 J4.8(cv) 408 911 9 41 RPart0 560 710 735 RPart1 6 410 8 625 QUEST 422 50 720 CTree 76789037  26 20 27 38...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 5 pps

Data Analysis Machine Learning and Applications Episode 2 Part 5 pps

... (in byte) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 0 20 40 60 80 typical day cluster number Cluster 6 (5%) Global 1 2 3 4 5 6 7 8 9 1 0 11 12 1 3 14 0 20 40 60 80 Typical customer 6 Typical day 12 Typical ... 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 clu...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 7 docx

Data Analysis Machine Learning and Applications Episode 2 Part 7 docx

... 16 Cluster 1 1.88 0 0 0 1 1 0 0 0 0 010 0 010 Universal -0.09 1 1 1 1 1 1 1 1 1 111 111 1 In Table 2, the second row represents whether each of the 16 actors belongs to cluster 1 (when the element is 1) ... 0. 12 3 7 Guadagni 0 .28 3 0 .16 6 8 Lamberteschi 0.086 0.076 9 Medici 0.383 0.434 10 Pazzi 0.039 0 .11 7 11 Peruzzi 0.339 -0.385 12 Pucci 0.000 0.000 13 Ridolfi...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 8 docx

Data Analysis Machine Learning and Applications Episode 2 Part 8 docx

... 13 (2) .39 (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 (1) 01 (4) . 01 ... (3) . 01 (3) 03 (5) .03 (1) 01 (5) Furnishing 10 .15 .10 (1) 13 (4) 12 . 49 .08 (1) 09 (4) 03 (3) .06 (2) 01 (3) .03 (2) Catering 12 . 17 19 (5) .03 (3) 13 .29 07 (5) 01...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf

Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf

... PW Attribute 1 Level 1 0.0 32 0.044 0. 020 Level 2 18 .2 % 0 .11 7 14 .4 % 0.080 21 .8 % 0 .15 4 Level 3 0 .14 0 0.095 0 .18 4 Attribute 2 Level 1 0 .10 6 0 .17 7 0.036 Level 2 0 .15 7 0 .18 3 0 .1 32 Level 3 27 .5 % 0 .23 8 28 .5 ... % 0 .23 8 28 .5 % 0 .23 6 26 .5 % 0 .24 0 Level 4 0.0 81 0.036 0. 12 4 Attribute 3 Level 1 0 .25 6 0. 317 0 .19 6 Level 2 0 .14 5...

Ngày tải lên: 05/08/2014, 21:21

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Data Analysis Machine Learning and Applications Episode 2 Part 10 docx

Data Analysis Machine Learning and Applications Episode 2 Part 10 docx

... 337.35 10 Q( .10 ) 38 37 35 30 22 12 5 Q(.50) 23 8 23 7 23 6 23 0 22 2 21 2 20 1 Q(.90) 786 785 784 779 7 71 759 749 ARL 19 9.77 19 6.56 18 3.44 15 1.96 10 5 .25 59 .10 28 .04 SDRL 19 3.98 19 3. 91 193 .13 18 7.73 16 9.44 ... 13 3.97 93.43 28 Q( .10 ) 25 219 5333 Q(.50) 14 0 13 7 12 4 86 12 5 4 Q(.90) 456 4 52 438 399 325 20 5 44 ARL 18 5 .15 17 0 .90 11 8 ....

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