Class information for: |
Basic class information |
ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
---|---|---|---|
17923 | 512 | 30.0 | 59% |
Classes in level above (level 2) |
ID, lev. above |
Publications | Label for level above |
---|---|---|
629 | 13118 | NEURAL NETWORKS//IEEE TRANSACTIONS ON NEURAL NETWORKS//EXTREME LEARNING MACHINE |
Terms with highest relevance score |
Rank | Term | Type of term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|---|
1 | EXTREME LEARNING MACHINE | Author keyword | 121 | 42% | 43% | 222 |
2 | EXTREME LEARNING MACHINE ELM | Author keyword | 28 | 43% | 10% | 49 |
3 | OS ELM | Author keyword | 18 | 89% | 2% | 8 |
4 | SINGLE HIDDEN LAYER FEEDFORWARD NETWORK | Author keyword | 15 | 88% | 1% | 7 |
5 | SINGLE HIDDEN LAYER FEEDFORWARD NEURAL NETWORKS | Author keyword | 10 | 73% | 2% | 8 |
6 | ONLINE SEQUENTIAL LEARNING | Author keyword | 8 | 75% | 1% | 6 |
7 | SINGLE HIDDEN LAYER FEEDFORWARD NETWORKS | Author keyword | 7 | 67% | 1% | 6 |
8 | ELM KERNEL | Author keyword | 6 | 80% | 1% | 4 |
9 | INCREMENTAL EXTREME LEARNING MACHINE | Author keyword | 6 | 80% | 1% | 4 |
10 | ELM FEATURE SPACE | Author keyword | 6 | 100% | 1% | 4 |
Web of Science journal categories |
Author Key Words |
Key Words Plus |
Rank | Web of Science journal category | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | HIDDEN NODES | 32 | 65% | 6% | 31 |
2 | EXTREME LEARNING MACHINE | 21 | 24% | 14% | 74 |
3 | FEEDFORWARD NETWORKS | 19 | 16% | 21% | 110 |
4 | ELM | 12 | 41% | 4% | 23 |
5 | FUNCTIONAL LINK NET | 6 | 41% | 2% | 12 |
6 | SELF ORGANIZING SCHEME | 3 | 57% | 1% | 4 |
7 | MIXED SELECTIVITY | 1 | 40% | 0% | 2 |
8 | MINIMUM GRADIENT METHOD | 1 | 50% | 0% | 1 |
9 | PIECEWISE POLYNOMIAL NETWORKS | 1 | 50% | 0% | 1 |
10 | SIGNATURE GENES | 1 | 50% | 0% | 1 |
Journals |
Reviews |
Title | Publ. year | Cit. | Active references | % act. ref. to same field |
---|---|---|---|---|
Trends in extreme learning machines: A review | 2015 | 11 | 163 | 55% |
Extreme learning machine and its applications | 2014 | 1 | 58 | 74% |
Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey | 2015 | 0 | 77 | 62% |
Address terms |
Rank | Address term | Relevance score (tfidf) |
Class's shr. of term's tot. occurrences |
Shr. of publ. in class containing term |
Num. of publ. in class |
---|---|---|---|---|---|
1 | IOWA INFORMAT INITIAT | 4 | 67% | 0.8% | 4 |
2 | MED IMAGE COMP NEU | 3 | 57% | 0.8% | 4 |
3 | MACHINE LEARNING COMPUTAT INTELLIGENCE | 3 | 26% | 1.8% | 9 |
4 | UNIV ENGN VITORIA | 1 | 40% | 0.4% | 2 |
5 | COMP MATH FFCLRP | 1 | 50% | 0.2% | 1 |
6 | ELECT TRICT | 1 | 50% | 0.2% | 1 |
7 | UNMANNED AERIAL VEHICLE ENGN | 1 | 50% | 0.2% | 1 |
8 | YAZILIM MUHENDISLIGI BOLUMU | 1 | 50% | 0.2% | 1 |
9 | GREENERGY SCI TECHNOL | 1 | 29% | 0.4% | 2 |
10 | ELECT BIOMED INTELLIGENT SYST EBITS GRP | 0 | 33% | 0.2% | 1 |
Related classes at same level (level 1) |
Rank | Relatedness score | Related classes |
---|---|---|
1 | 0.0000161403 | SIGMOIDAL FUNCTIONS//COMMUN COMP SYST SCI DIST//RIDGE FUNCTION |
2 | 0.0000117710 | LINEAR IN THE PARAMETERS MODEL//FORWARD REGRESSION//COMP ARCHITECTURE COMP TECHNOL |
3 | 0.0000115023 | TWIN SUPPORT VECTOR MACHINE//TWIN SUPPORT VECTOR MACHINES//MULTIPLE KERNEL LEARNING |
4 | 0.0000113117 | ARTIFICIAL NEURAL NETWORKS//INTELLIGENT INFORMAT SYST//INTELLIGENT PROC |
5 | 0.0000111114 | COMPLEX VALUED NEURAL NETWORKS//IMPROPER COMPLEX RANDOM VECTOR//IMPROPERNESS |
6 | 0.0000109780 | RESERVOIR COMPUTING//ECHO STATE NETWORK//LIQUID STATE MACHINE |
7 | 0.0000107572 | ONLINE GRADIENT METHOD//FEEDFORWARD NEURAL NETWORKS//MAPPING SENSITIVITY |
8 | 0.0000094366 | DEEP LEARNING//HIERARCHICAL FEATURE LEARNING//RESTRICTED BOLTZMANN MACHINES |
9 | 0.0000084027 | CLASS IMBALANCE PROBLEM//CLASS IMBALANCE//COST SENSITIVE LEARNING |
10 | 0.0000072530 | BINARY NEURAL NETWORKS//N BIT PARITY PROBLEM//LINEAR SEPARATION PROBLEM |