Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
15121 | 730 | 31.5 | 62% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | EXTREME LEARNING MACHINE | authKW | 6884224 | 46% | 49% | 337 |
2 | EXTREME LEARNING MACHINE ELM | authKW | 1706119 | 11% | 52% | 79 |
3 | SINGLE HIDDEN LAYER FEEDFORWARD NETWORK | authKW | 392710 | 2% | 72% | 13 |
4 | IOWA INFORMAT INITIAT | address | 361508 | 2% | 79% | 11 |
5 | SINGLE HIDDEN LAYER FEEDFORWARD NEURAL NETWORKS | authKW | 337406 | 2% | 73% | 11 |
6 | ONLINE SEQUENTIAL LEARNING | authKW | 334623 | 1% | 100% | 8 |
7 | OS ELM | authKW | 297441 | 1% | 89% | 8 |
8 | ELM KERNEL | authKW | 250967 | 1% | 100% | 6 |
9 | NEUROCOMPUTING | journal | 215878 | 30% | 2% | 222 |
10 | ONLINE SEQUENTIAL EXTREME LEARNING MACHINE OS ELM | authKW | 209139 | 1% | 100% | 5 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Computer Science, Artificial Intelligence | 50775 | 68% | 0% | 499 |
2 | Engineering, General | 876 | 9% | 0% | 64 |
3 | Mathematics, Interdisciplinary Applications | 722 | 8% | 0% | 55 |
4 | Computer Science, Cybernetics | 475 | 2% | 0% | 18 |
5 | Automation & Control Systems | 378 | 5% | 0% | 37 |
6 | Engineering, Electrical & Electronic | 228 | 13% | 0% | 93 |
7 | Computer Science, Theory & Methods | 165 | 5% | 0% | 35 |
8 | Computer Science, Interdisciplinary Applications | 163 | 5% | 0% | 34 |
9 | Computer Science, Information Systems | 145 | 4% | 0% | 31 |
10 | Computer Science, Hardware & Architecture | 123 | 3% | 0% | 19 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | IOWA INFORMAT INITIAT | 361508 | 2% | 79% | 11 |
2 | MACHINE LEARNING COMPUTAT INTELLIGENCE | 133832 | 2% | 27% | 12 |
3 | BUSINESS MANAGEMENT ANALYT | 83656 | 0% | 100% | 2 |
4 | MED IMAGE COMP NEU | 83652 | 1% | 50% | 4 |
5 | ATR DEF | 55769 | 0% | 67% | 2 |
6 | BRAIN LIKE COMP MACHINE INTELLIGENCE | 44611 | 1% | 27% | 4 |
7 | IOT INFORMAT FUS TECHNOL ZHEJIANG | 43563 | 1% | 21% | 5 |
8 | BEIJING DAHENG MED EQUIPMENT CO LTD | 41828 | 0% | 100% | 1 |
9 | BROOKHAVEN AFFAIRS | 41828 | 0% | 100% | 1 |
10 | CHEM IND PROC CONTROL TECHNOL | 41828 | 0% | 100% | 1 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | NEUROCOMPUTING | 215878 | 30% | 2% | 222 |
2 | NEURAL COMPUTING & APPLICATIONS | 52085 | 7% | 2% | 54 |
3 | COGNITIVE COMPUTATION | 33762 | 2% | 4% | 18 |
4 | NEURAL PROCESSING LETTERS | 13864 | 2% | 2% | 18 |
5 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 10042 | 2% | 2% | 16 |
6 | IEEE TRANSACTIONS ON CYBERNETICS | 9930 | 2% | 2% | 15 |
7 | MATHEMATICAL PROBLEMS IN ENGINEERING | 8757 | 6% | 0% | 44 |
8 | NEURAL NETWORKS | 6997 | 3% | 1% | 23 |
9 | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | 6498 | 1% | 2% | 8 |
10 | WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS | 4820 | 1% | 2% | 7 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | HUANG, G , HUANG, GB , SONG, SJ , YOU, KY , (2015) TRENDS IN EXTREME LEARNING MACHINES: A REVIEW.NEURAL NETWORKS. VOL. 61. ISSUE . P. 32 -48 | 86 | 53% | 149 |
2 | DING, SF , XU, XZ , NIE, R , (2014) EXTREME LEARNING MACHINE AND ITS APPLICATIONS.NEURAL COMPUTING & APPLICATIONS. VOL. 25. ISSUE 3-4. P. 549 -556 | 44 | 75% | 7 |
3 | CAO, JW , LIN, ZP , (2015) EXTREME LEARNING MACHINES ON HIGH DIMENSIONAL AND LARGE DATA APPLICATIONS: A SURVEY.MATHEMATICAL PROBLEMS IN ENGINEERING. VOL. . ISSUE . P. - | 48 | 62% | 4 |
4 | SHAO, ZF , ER, MJ , WANG, N , (2016) AN EFFICIENT LEAVE-ONE-OUT CROSS-VALIDATION-BASED EXTREME LEARNING MACHINE (ELOO-ELM) WITH MINIMAL USER INTERVENTION.IEEE TRANSACTIONS ON CYBERNETICS. VOL. 46. ISSUE 8. P. 1939 -1951 | 32 | 84% | 1 |
5 | HUANG, GB , WANG, DH , LAN, Y , (2011) EXTREME LEARNING MACHINES: A SURVEY.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS. VOL. 2. ISSUE 2. P. 107 -122 | 29 | 45% | 534 |
6 | HUANG, GB , (2014) AN INSIGHT INTO EXTREME LEARNING MACHINES: RANDOM NEURONS, RANDOM FEATURES AND KERNELS.COGNITIVE COMPUTATION. VOL. 6. ISSUE 3. P. 376 -390 | 22 | 55% | 141 |
7 | HE, YL , GENG, ZQ , ZHU, QX , (2015) A DATA-ATTRIBUTE-SPACE-ORIENTED DOUBLE PARALLEL (DASODP) STRUCTURE FOR ENHANCING EXTREME LEARNING MACHINE: APPLICATIONS TO REGRESSION DATASETS.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. VOL. 41. ISSUE . P. 65 -74 | 27 | 77% | 4 |
8 | SHAO, ZF , ER, MJ , (2016) EFFICIENT LEAVE-ONE-OUT CROSS-VALIDATION-BASED REGULARIZED EXTREME LEARNING MACHINE.NEUROCOMPUTING. VOL. 194. ISSUE . P. 260 -270 | 22 | 96% | 0 |
9 | HUANG, GB , ZHOU, HM , DING, XJ , ZHANG, R , (2012) EXTREME LEARNING MACHINE FOR REGRESSION AND MULTICLASS CLASSIFICATION.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS. VOL. 42. ISSUE 2. P. 513 -529 | 15 | 48% | 911 |
10 | ZHAO, YP , LI, B , LI, YB , (2015) AN ACCELERATING SCHEME FOR DESTRUCTIVE PARSIMONIOUS EXTREME LEARNING MACHINE.NEUROCOMPUTING. VOL. 167. ISSUE . P. 671 -687 | 24 | 89% | 0 |
Classes with closest relation at Level 1 |