Data Analysis Machine Learning and Applications Episode 3 Part 4 potx
Data Analysis Machine Learning and Applications Episode 3 Part 4 potx
... Equation 3 and Figure 4: P ∗ n×m = U n×c ·S c×c ·V c×m (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 ∗ n×i -0.61 0.28 -0.29 -0.95 -0. 74 0. 14 U n×c 8.87 0 0 4. 01 S c×c -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...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... 1 03 Cebron, Nicolas, 31 9 Clérot, F., 34 3 Coretto, Pietro, 127 Cramer, Irene, 5 53 D’Ambra, Antonello, 209 D’Ambra, Luigi, 1 93 Decker, Reinhold, 44 7 Deli ´ c, Daniel, 561 Delibaši ´ c, Boris, 32 7 Denk, ... Index Ackermann, Markus, 39 7 Amenta, Pietro, 209 Arndt, Hans-K., 36 3 Böhm, Walter, 147 Baier, Daniel, 43 1 , 6 63 Bailer-Jones, C.A.L., 77 Bartel, Hans-Georg, 679 Behnisch...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 1 pdf
... 0.505 M2 * 191 33 1 256 1 242 5 132 03 0.655 M3 ** 35 48 33 1 818 1 242 5 17158 0.7 43 * 39 55 credit clients could not be classified. ** Default class bad for 39 55 credit clients. and by w = 1 149 32 3 for bad credit ... 0.077 Polynomial (2nd degree) 96 1 035 1 14 159 13 17158 0 .31 4 Polynomial (3rd degree) 1 242 633 516 147 67 17158 0.6 43 RBF 860 651 49 8 15 149 17158 0...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 2 pdf
... Raton, 43 3 45 4. GEYER-SCHULZ, A. and NEUMANN, A. and THEDE, A. (2003b): An Architecture for Behavior-Based Library Recommender Systems. Journal of Information Technology and Libraries, 22 (4) . KOTLER, ... Artificial Intelligence, pp. 43 52, July 1998. BURKE, R. (2002): Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction. vol. 12 (4) , pp...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 3 pps
... 120 120 126 3 2 15 10 13 105 108 107 32 32222 949 7 93 43 6 3029 747 979 541 4 233 6765 64 ±10 2 34 3 231 787075 35 9 535 44 55 142 48 5 646 72 43 5 19 59067681826 14 30 259 544 7 43 3 945 38 46 665222521 49 5866516 141 1 5 101 86 ... 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....
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 ... 1. Rand index and Rand index corrected for agreement by chance of the contingency tables between k-means results, for k ∈ {3, 4, 5,6}, and expert ratings for tf a...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 6 doc
... we compute the mean z and the standard deviation V for the whole set. 3 Support Vector Machines. 4 Supervised vs. unsupervised respectively. 5 See sec. 4. 706 Rosanna Verde and Antonio Irpino artificial ... ma- chine learning tasks and to extend the framework to more demanding tasks, when it comes to deal with, e.g., web documents. 658 Olga Pustylnikov and Alexander Mehler Cons...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 7 ppt
... [22 ,30 ] . [ 24 ,32 ] [ 24 ,30 ] [25 ,30 ] Tokyo [0,9] [0,10] [3, 13] . . . [ 13, 21] [8,16] [2,12] Toronto [-8,-1] [-8,-1] [ -4, 4] . . . [6, 14] [-1,17] [-5,1] Vienna [-2,1] [-1 ,3] [1,8] [7, 13] [2,7] [1 ,3] Zurich ... Oct Nov Dec Amsterdam [ -4, 4] [-5 ,3] [2,12] . . . [5,15] [-1 ,4] [-1 ,4] Athens [6,12] [6,12] [8,16] . . . [16, 23] [11,18] [8, 14] Bahrain [ 13, 19] [ 14, 19] [17...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 3 Part 8 doc
... Technique, 4 63 Customer Equity Management, 47 9 Customer Segmentation, 47 9 Data Analysis, 31 9 Data Augmentation, 111 Data Depth, 45 5 Data Integration, 33 5 Data Mining, 42 1 Data Quality, 33 5 Data Transformation, ... 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...
Ngày tải lên: 05/08/2014, 21:21
Data Analysis Machine Learning and Applications Episode 1 Part 2 potx
... 0.761 0.6 94 0.677 0.886 0. 832 P all–pairs,Dirichlet 0.8 93 0.755 0.720 0.688 0.888 0.771 P 1–v–rest,no 0. 833 0. 539 0.688 0.570 0.885 0 .46 4 P 1–v–rest,map 0.8 73 0. 647 0.682 0.5 63 0.878 0.7 84 P 1–v–rest,assign 0.867 ... 0.9 14 0.866 P Logistic Regression 0.9 73 0.9 64 0.561 0. 633 0.8 43 0.572 P tree 0.927 0.821 0 .42 7 0.556 0. 746 0.6 64 P Naive Bayes 0. 947 0. 936 0.650...
Ngày tải lên: 05/08/2014, 21:21