Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
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 22 44...
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Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
... Algorithms on the New-Item and User-Bias Problem 527 information with CF (Burke (20 02) , Melville et al. (20 02) , Kim and Li (20 04), Tso and Schmidt-Thieme (20 05)). However, there has been lack of suitable ... and development in information retrieval. New York, NY, USA: ACM Press, 20 02, pp. 25 3 26 0. TSO, K. and SCHMIDT-THIEME L. (20 05): Attribute-aware Collaborative Filte...
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Data Analysis Machine Learning and Applications Episode 1 Part 8 ppsx
... % Factor 2 - 6.67 % Umbre=1 Umbre =2 Umbre=3 Umbre=4 Keyri=1 Keyri =2 Keyri=3 Keyri=4 Tie=1 Tie =2 Tie=3 Tie=4 Hat=1 Hat =2 Hat=3 Hat=4 Kerf1=1 Kerf1 =2 Kerf1=3 Kerf1=4 Kerf2=1 Kerf2 =2 Kerf2=3 Kerf2=4 Trayp=1 Trayp =2 Trayp=3 Trayp=4 Trays=1 Trays =2 Trays=3 Trays=4 T-shi=1 T-shi =2 T-shi=3 T-shi=4 Fem-T=1 Fem-T =2 Fem-T=3 Fem-T=4 Sweat=1 Sweat =2 Sweat=3 Sweat=4 Cap=1 Cap =2 C...
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Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... 499 Biemann, Chris, 577 Borgelt, Christian, 22 9 Bradley, Patrick E., 95 Brunner, Gerd, 23 7 Brusch, Michael, 431 Burgard, Wolfram, 26 9, 29 3 Burkhardt, Hans, 11, 37, 23 7 Calò, Daniela G., 103 Cebron, Nicolas, ... 679 Dudek, Andrzej, 85 Durand, Jean-Francçois, 20 1 Esswein, Werner, 155 Fehr,Janis,11 Feinerer, Ingo, 569 Feiten, Wendelin, 26 9 Fernández-Aguirre, K., 183 Fessant, F., 34...
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Data Analysis Machine Learning and Applications Episode 1 Part 1 doc
... able1 14 4 42 32 8 44 46 2 24 38 9 11 20 16 15 6 21 50 13 30 27 49 1 5 29 28 34 7 35 22 3 31 37 48 12 26 39 10 45 17 23 25 75 98 18 43 36 33 19 47 90 70 82 71 41 40 57 78 94 84 58 88 79 59 55 51 91 73 85 64 61 65 62 80 96 89 83 95 100 63 54 74 92 53 72 87 76 93 97 66 81 69 67 99 113 68 86 56 60 77 52 139 134 130 103 138 109 140 143 114 124 137 127 126 133...
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Data Analysis Machine Learning and Applications Episode 1 Part 3 docx
... grade 3 in 2. 26% of the cases. 4 0.00 0.00 4 .20 48.33 3 1. 92 8.31 70.18 49.17 2 26.83 79.80 22 .26 0.00 1 71 .25 11.89 3.35 2. 50 LVQ 1 2 3 4 4 0.00 0 .28 2. 10 50.83 3 2. 62 3.87 77.30 46.67 2 28.83 88.41 ... 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 44.17 2 28 .21 85.35 15.54 2. 50 1 71. 12 10....
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Data Analysis Machine Learning and Applications Episode 1 Part 4 pptx
... median centroid 2 a 0.38047 0.53576 0.00 022 0.119 12 0. 422 88 0 .25 114 0.00 527 0.000 32 b 0.8 421 8 0.90705 0. 722 06 0. 120 10 0.99680 0.41796 0.30451 0.89835 3 a 0 .27 681 0.34071 0.0 028 8 0 .29 3 92 0.40818 0.35435 ... classes DNA 21 24 10 62 180 3 Letter 16000 4000 16 26 Satellite 429 0 21 45 36 6 Iris 100 50 4 3 Spam 3000 1601 57 2 Diabetes 5 12 256 8 2 Sonar 138 70 6...
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Data Analysis Machine Learning and Applications Episode 1 Part 5 pdf
... dendrograms Q 2 0 1 3 4 12 20 32 64 0 f 0 022 256 1 0 f 100000 3 01f 00 000 4 20 0f 3 422 12 2003f 322 20 20 04 3 f 21 32 50 02 2 2 f 5 64 60 02 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 ... numbers is e.g. Gouvêa (20 03). Example 2. 1 For our toy data set D, we have |0| 2 = 0, |1| 2 = |3| 2 = 1, |4|...
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Data Analysis Machine Learning and Applications Episode 1 Part 6 docx
... 0.000 0. 024 0.0 12 0.965 0.000 grandmother 0.005 0.134 0.016 0.840 0.005 granddaughter 0.113 0 .24 2 0.054 0.466 0. 125 grandson 0.134 0.111 0.0 52 0.581 0. 122 brother 0.6 12 0 .28 2 0. 024 0.0 82 0.000 sister 0.579 ... (1998): Partitions of partitions. Journal of Classification, 15, 26 5 28 5. GORDON, A. D. and VICHI, M. (20 01): Fuzzy partition models for fitting a set of partition...
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Data Analysis Machine Learning and Applications Episode 1 Part 7 doc
... 0.75, mean vectors z 1 =(0,0, 0) , z 2 =(3,5,8) , and covariance matrices 6 1 = ⎛ ⎝ 3. 02. 42. 4 2. 43. 02. 1 2. 42. 11.3 ⎞ ⎠ , 6 2 = ⎛ ⎝ 4. 02. 42. 4 2. 43. 52. 1 2. 42. 13 .2 ⎞ ⎠ . In the second setting, the ... BARR, M. SMITH and M. POSNER (20 00a): Dopamine genes and ADHD. Neurosci Biobehav Rev, 24 , 21 25 . T. J. WOODRUFF, D. A. AXELRAD, A. D. KYLE, O. NWEKE, G. G. M...
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