Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... R., 31 9
Bessler, Wolfgang, 499
Biemann, Chris, 577
Borgelt, Christian, 2 29
Bradley, Patrick E., 95
Brunner, Gerd, 237
Brusch, Michael, 431
Burgard, Wolfram, 2 69, 2 93
Burkhardt, Hans, 11, 37 , 237
Calò, ... Wendelin, 2 69
Fernández-Aguirre, K., 1 83
Fessant, F., 34 3
Fiedler, Mathias, 2 29
Flodman, Pamela, 1 19
Franke, Markus, 35 5
Fried, Roland, 277
Gabriel, Thomas R.,...
Data Analysis Machine Learning and Applications Episode 1 Part 1 doc
... able2
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Data Analysis Machine Learning and Applications Episode 1 Part 2 potx
... 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...
Data Analysis Machine Learning and Applications Episode 1 Part 3 docx
... 14 :55. 23 10 :55.70 14 : 21. 99 1. 37 1. 04
Classification Time 03 : 13 .60 00 :14 . 73 00 :14 . 63 13 .14 13 . 23
Classif. Accuracy % 95.78 % 91. 01 % 91. 01 % 1. 05 1. 05
USPS RBF H1-SVM H1-SVM RBF/H1 RBF/H1
(Min-Max) Kernel ... 2.62 3. 87 77 .30 46.67
2 28. 83 88. 41 18.06 2.50
1 68.54 7.44 2.54 0.00
SRNG 1 2 3 4
4 0.00 0.56 2.08 53. 33
3 0.67 3. 60 81. 12 44 .1...
Data Analysis Machine Learning and Applications Episode 1 Part 4 pptx
... 0.89 642 0.763 84 0. 712 12 0.85838
¯r 0.5 313 0 0 .4 41 1 9 0.56066 0 .44 540 0 .45 403 0.39900 0. 618 83 0. 747 30
ccr 98.22% 98.00% 94. 44% 90.67% 97 .11 % 89.56% 98.89% 98 .44 %
11 a 0. 043 35 0. 043 94 0.00 012 0. 043 88 ... 0. 547 46 0.6 013 9 0.27 610 0 .46 735 0.58050 0 .49 842 0.33303 0.5 017 8
b 0. 910 71 0. 848 88 0 .48 550 0.73720 0. 813 17 0.79 644 0.72899 0. 744 62
6
a 0. 6...
Data Analysis Machine Learning and Applications Episode 1 Part 5 pdf
... 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...
Data Analysis Machine Learning and Applications Episode 1 Part 6 docx
... data.
grandfather 0.000 0.024 0. 012
0. 965 0.000
grandmother 0.005 0 .13 4 0. 0 16
0.840 0.005
granddaughter 0 .11 3 0.242 0.054
0. 466 0 .12 5
grandson 0 .13 4 0 .11 1 0.052
0.5 81 0 .12 2
brother
0. 61 2 0.282 0.024 0.082 ... 0.000
sister
0.579 0.3 91 0.0 26 0.002 0.002
father 0.099
0.5 46 0 .12 2 0 .15 8 0.075
mother 0.089
0 .65 4 0 .13 6 0.054 0. 066
daughter 0.000
1. 000 0.0...
Data Analysis Machine Learning and Applications Episode 3 Part 1 pdf
... 1 035 11 4 15 9 13 17 158 0 . 31 4
Polynomial
(3rd degree)
12 42 633 516 14 767 17 158 0.6 43
RBF
860 6 51 498 15 149 17 158 0.640
Coulomb
0 11 24 25 16 009 17 158 0 .14 8
M1
287 850 299 15 722 17 158 0.505
M2
*
19 1 ... Me
NonV B
T3
Ratios VB
T2
NonV B
T2
VB
T3
NonV B
T3
Test1 Test2
ROS 9.52 3. 93 5 .39 2 .16 1 03 11 6
ROE 6.7 3. 83 3 .3 2. 01 111 11 0
ROI 6.85...
Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
... Artificial Intelligence, pp. 43 52, July 1998.
BURKE, R. (20 02) : Hybrid Recommender Systems: Survey and Experiments. User Modeling
and User-Adapted Interaction. vol. 12( 4), pp. 33 1 37 0.
HERLOCKER, J.L., ... EachMovie, containing 2, 558,871
votes from 61, 1 32 users on 1,6 23 movies, and the MovieLens100k dataset, contain-
ing 100,000 ratings from 9 43 users on 1,6 82 movies. Th...
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...
Data Analysis Machine Learning and Applications Episode 3 Part 4 potx
... Equation 3 and Figure 4:
P
nìm
= U
nìc
ÃS
cìc
ÃV
cìm
(3)
2.69 0.57 2.22 4. 25
0.78 3. 93 2.21 0. 04
3. 17 1 .38 2.92 4. 78
P
nìi
-0.61 0.28
-0.29 -0.95
-0. 74 0. 14
U
nìc
8.87 0
0 4. 01
S
cìc
-0 .47 -0.28 ... efc(0.17)
Portal 1 0.1126 0.20 54 0.2815 0 .35 18 0. 640 8 0.7685 0 .36
Portal 2 0. 142 5 0.2050 0.1 836 0.2079 0.1965 0. 233 8 0.18
Portal 3 0.0058 0. 245 5 0.02...
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...
Data Analysis Machine Learning and Applications Episode 3 Part 6 doc
... story
The empirical tests on the data from the 66 texts support our hypothesis with good
and very good 2 values. Figures 2 and 3 show typical graphs of the theoretical and
empirical distributions ... information. Figure 6 shows the relationship
between the parameters b and c.
Quantitative Text Analysis Using L-, F- and T-Segments 63 9
Table 1. Text numbers in the corpus w...
Data Analysis Machine Learning and Applications Episode 3 Part 7 ppt
... Measurements and the corresponding ranks of MnO
Value 0.01 0.02 0. 03 0.04 0.05 0.06 0. 07 0.08 0.09 0.10 0.11 0. 13
Frequency 171 82 071 54 231 11
Rank 9 26.5 45.5 59 63 66 70 .5 73 . 5 76 78 79 80
Transformation ... <T1– 07& gt;
-0 .70 7-
Geographic treatment <T1– 070 7>
7-
North America <na4r7span:T1– 070 1-T1– 070 9:T2 7& gt;
73
United States <na4r7span:T1–...
Data Analysis Machine Learning and Applications Episode 3 Part 8 doc
... Linguistics, 637 , 655
Question Answering, 5 53
R, 33 5, 38 9, 569
Rank Data, 681
Recommender Systems, 525, 533 , 541,
619
Record Linkage, 33 5
Reference Modelling, 37 3
Regression, 36 3
Relationships, 36 3, 629
Return ... Segmentation, 479
Data Analysis, 31 9
Data Augmentation, 111
Data Depth, 455
Data Integration, 33 5
Data Mining, 421
Data Quality, 33 5
Data Tran...
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