Class information for: |
Basic class information |
| ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
|---|---|---|---|
| 3130 | 1976 | 27.4 | 42% |
Classes in level above (level 2) |
| ID, lev. above |
Publications | Label for level above |
|---|---|---|
| 396 | 16220 | CREDIT SCORING//MACHINE LEARNING//FEATURE SELECTION |
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 | TWIN SUPPORT VECTOR MACHINE | Author keyword | 37 | 73% | 1% | 29 |
| 2 | TWIN SUPPORT VECTOR MACHINES | Author keyword | 30 | 79% | 1% | 19 |
| 3 | MULTIPLE KERNEL LEARNING | Author keyword | 20 | 26% | 3% | 66 |
| 4 | NONPARALLEL HYPERPLANES | Author keyword | 17 | 100% | 0% | 8 |
| 5 | FUZZY V SUPPORT VECTOR MACHINE | Author keyword | 11 | 100% | 0% | 6 |
| 6 | LEARNING KERNELS | Author keyword | 11 | 78% | 0% | 7 |
| 7 | WORKING SET SELECTION | Author keyword | 10 | 73% | 0% | 8 |
| 8 | LINEAR PROGRAMMING SUPPORT VECTOR REGRESSION | Author keyword | 9 | 83% | 0% | 5 |
| 9 | ROUGH MARGIN | Author keyword | 9 | 83% | 0% | 5 |
| 10 | TWIN SUPPORT VECTOR REGRESSION | Author keyword | 9 | 83% | 0% | 5 |
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 | SMO ALGORITHM | 48 | 59% | 3% | 55 |
| 2 | FINITE NEWTON METHOD | 25 | 77% | 1% | 17 |
| 3 | WORKING SET SELECTION | 23 | 79% | 1% | 15 |
| 4 | PRUNING ERROR MINIMIZATION | 11 | 78% | 0% | 7 |
| 5 | SVM REGRESSION | 9 | 41% | 1% | 17 |
| 6 | SVM CLASSIFIERS | 8 | 70% | 0% | 7 |
| 7 | MACHINE CLASSIFICATION | 8 | 75% | 0% | 6 |
| 8 | HYPERPARAMETERS | 7 | 53% | 1% | 10 |
| 9 | SPARSE APPROXIMATION | 6 | 35% | 1% | 14 |
| 10 | SVM HYPERPARAMETERS | 5 | 45% | 0% | 9 |
Journals |
Reviews |
| Title | Publ. year | Cit. | Active references | % act. ref. to same field |
|---|---|---|---|---|
| A tutorial on support vector regression | 2004 | 1445 | 20 | 65% |
| A review of optimization methodologies in support vector machines | 2011 | 31 | 18 | 67% |
| Multiple Kernel Learning for Visual Object Recognition: A Review | 2014 | 3 | 20 | 35% |
| RECENT ADVANCES ON SUPPORT VECTOR MACHINES RESEARCH | 2012 | 21 | 53 | 26% |
| Supervised classification and mathematical optimization | 2013 | 5 | 163 | 31% |
| An overview on nonparallel hyperplane support vector machine algorithms | 2014 | 0 | 34 | 97% |
| A unified SVM framework for signal estimation | 2014 | 1 | 38 | 37% |
| A new training method for support vector machines: Clustering k-NN support vector machines | 2008 | 17 | 7 | 43% |
| Support vector machines in engineering: an overview | 2014 | 1 | 117 | 21% |
| A class of classification and regression methods by multiobjective programming | 2009 | 2 | 6 | 33% |
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 | INFORMAT SCI SYST SCI | 6 | 80% | 0.2% | 4 |
| 2 | FICTITIOUS ECON DATA SCI | 5 | 18% | 1.4% | 27 |
| 3 | ZHIJIANG | 5 | 19% | 1.2% | 23 |
| 4 | ADV INFORMAT SCI NETWORK TECHNOL BEIJIN | 4 | 67% | 0.2% | 4 |
| 5 | PL COMP SCI SCI COMP GRP | 3 | 100% | 0.2% | 3 |
| 6 | DTSC | 3 | 45% | 0.3% | 5 |
| 7 | ZNDY MINISTERIAL | 3 | 45% | 0.3% | 5 |
| 8 | RAILWAY MINIST | 3 | 60% | 0.2% | 3 |
| 9 | OPTIMIZAT INTELLIGENT SYST | 2 | 50% | 0.2% | 3 |
| 10 | MACHINE LEARNING DATA ANAL | 2 | 33% | 0.2% | 4 |
Related classes at same level (level 1) |
| Rank | Relatedness score | Related classes |
|---|---|---|
| 1 | 0.0000137757 | COEFFICIENT REGULARIZATION//SAMPLE COMPRESSION//LEARNING THEORY |
| 2 | 0.0000131329 | OUTLIER DETECTION//NOVELTY DETECTION//ONE CLASS CLASSIFICATION |
| 3 | 0.0000131145 | TRANSFER LEARNING//MULTITASK LEARNING//DOMAIN ADAPTATION |
| 4 | 0.0000115023 | EXTREME LEARNING MACHINE//EXTREME LEARNING MACHINE ELM//OS ELM |
| 5 | 0.0000093837 | CLASS IMBALANCE PROBLEM//CLASS IMBALANCE//COST SENSITIVE LEARNING |
| 6 | 0.0000088453 | BOOSTING//BAGGING//ENSEMBLE PRUNING |
| 7 | 0.0000084873 | MEAN FIELD VARIATIONAL BAYES//EXPECTATION PROPAGATION//GAUSSIAN PROCESSES MODEL |
| 8 | 0.0000071644 | FACE RECOGNITION//DIMENSIONALITY REDUCTION//MANIFOLD LEARNING |
| 9 | 0.0000071287 | LINEAR STATISTICAL MODELS//MULTI GROUP CLASSIFICATION//CREDIT CARD PORTFOLIO MANAGEMENT |
| 10 | 0.0000068827 | PROTOTYPE SELECTION//INSTANCE SELECTION//PROTOTYPE REDUCTION SCHEMES PRS |