Code_osn_prediction Code
Brought to you by:
chuanpm
| File | Date | Author | Commit |
|---|---|---|---|
| hep-th | 2016-12-28 |
|
[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| lda-0.2-matlab | 2016-12-28 |
|
[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| sub_function | 2017-01-03 |
|
[e3f289] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| Readme.txt | 2017-01-03 |
|
[e3f289] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| main_alltopic_cosin_timescore.m | 2016-12-28 |
|
[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| main_optimal_beta_unsupversed.m | 2016-12-28 |
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[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| main_weight_topic.m | 2016-12-28 |
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[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
| main_weight_trad.m | 2016-12-28 |
|
[6a0214] Signed-off-by: chuanpm_utehy Pham <chuanpm_uteh... |
the data stored in: \\hep-th\data\X_4_1year the values of prediction similar scores stored in:\\hep-th\feature\X_4_1year the result stored in: \\hep-th\result 1-Run the program for the traditional method: CN, AA, PA, JC, WCN, WAA, WPA, WJC open file main_weight_trad.m and Run file name result of (CN, AA, PA, JC): result_fv_unsupervised_auc_hep-th_4_1.dat, each column is a metric correspondingly file name result of (WCN, WAA, WPA, WJC): result_fv_unsupervised_auc_weighthep-th_4_1.dat, each column is a metric correspondingly 2- Run EWCN, EWAA, EWPA, EWJC open file main_weight_topic.m and Run file name result of (EWCN, EWAA, EWPA, EWJC): result_fv_unsupervised_weight_topic_[number of topics]_hep-th_5_1.dat, each column is a metric correspondingly 3- Run Time Score (TS[34]) open file main_optimal_beta_unsupversed.m and Run file name result TS: result_fv_unsupervised_timescore_beta_hep-th_4_1.dat 4- Run Extended Time Score ETS open file main_alltopic_cosin_timescore.m and Run file name result ETS: result_fv_unsupervised_alltopic_cosin_timescore_hep-th_5_1_ktopic_[number of topics].dat Each column corresponding to beta (0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9)