Class information for: |
Basic class information |
ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
---|---|---|---|
8827 | 1146 | 26.6 | 44% |
Classes in level above (level 2) |
ID, lev. above |
Publications | Label for level above |
---|---|---|
615 | 13248 | NONPARAMETRIC REGRESSION//ORACLE PROPERTY//SUFFICIENT DIMENSION REDUCTION |
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 | COEFFICIENT REGULARIZATION | Author keyword | 30 | 100% | 1% | 12 |
2 | SAMPLE COMPRESSION | Author keyword | 24 | 91% | 1% | 10 |
3 | LEARNING THEORY | Author keyword | 22 | 21% | 8% | 95 |
4 | REPRODUCING KERNEL HILBERT SPACE | Author keyword | 18 | 22% | 6% | 71 |
5 | REGULARIZATION ERROR | Author keyword | 13 | 71% | 1% | 10 |
6 | STATISTICAL LEARNING THEORY | Author keyword | 12 | 24% | 4% | 43 |
7 | MARKOV SAMPLING | Author keyword | 11 | 78% | 1% | 7 |
8 | REPRODUCING KERNEL HILBERT SPACES | Author keyword | 11 | 24% | 3% | 39 |
9 | REGULARIZATION SCHEME | Author keyword | 10 | 63% | 1% | 10 |
10 | GENERALIZATION BOUNDS | Author keyword | 10 | 42% | 2% | 18 |
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 | SOFT MARGIN CLASSIFIERS | 107 | 97% | 3% | 31 |
2 | LEARNING THEORY | 56 | 45% | 8% | 95 |
3 | REGULARIZED REGRESSION | 31 | 92% | 1% | 12 |
4 | RISK MINIMIZATION | 26 | 58% | 3% | 30 |
5 | GENERALIZATION BOUNDS | 19 | 80% | 1% | 12 |
6 | LOCAL RADEMACHER COMPLEXITIES | 17 | 68% | 1% | 15 |
7 | FAST RATES | 15 | 88% | 1% | 7 |
8 | CONCENTRATION INEQUALITIES | 12 | 42% | 2% | 23 |
9 | RISK BOUNDS | 11 | 69% | 1% | 9 |
10 | STRUCTURAL RISK MINIMIZATION | 10 | 73% | 1% | 8 |
Journals |
Reviews |
Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
---|---|---|---|---|
Kernel methods in machine learning | 2008 | 159 | 39 | 15% |
Risk bounds for model selection via penalization | 1999 | 245 | 47 | 23% |
Regularization networks and support vector machines | 2000 | 430 | 24 | 17% |
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions | 2010 | 0 | 7 | 71% |
A short review of statistical learning theory | 2002 | 1 | 4 | 75% |
AUTOMATIC PATTERN-RECOGNITION - A STUDY OF THE PROBABILITY OF ERROR | 1988 | 56 | 23 | 9% |
REGULARIZATION THEORY AND NEURAL NETWORKS ARCHITECTURES | 1995 | 530 | 42 | 2% |
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 | ICE DMC | 6 | 71% | 0.4% | 5 |
2 | IFT GLO | 4 | 75% | 0.3% | 3 |
3 | INFORMAT SCI GRP CCS 3 | 3 | 57% | 0.3% | 4 |
4 | BEIJING MULTIMEDIA INTELLIGENT SOFTWARE T | 2 | 67% | 0.2% | 2 |
5 | TSI SIGNAL IMAGES | 2 | 67% | 0.2% | 2 |
6 | DIPARTIMENTO SCI ARCHITETTURA | 2 | 50% | 0.3% | 3 |
7 | WILLOW PROJECT TEAM | 2 | 33% | 0.3% | 4 |
8 | ANGEVIN RECH MATHS | 1 | 100% | 0.2% | 2 |
9 | CLASSIC TEAM | 1 | 100% | 0.2% | 2 |
10 | JOINT ADV SUZHOU | 1 | 33% | 0.3% | 3 |
Related classes at same level (level 1) |
Rank | Relatedness score | Related classes |
---|---|---|
1 | 0.0000137757 | TWIN SUPPORT VECTOR MACHINE//TWIN SUPPORT VECTOR MACHINES//MULTIPLE KERNEL LEARNING |
2 | 0.0000131800 | SQUARED LOSS MUTUAL INFORMATION//DENSITY RATIO ESTIMATION//DISAGREEMENT COEFFICIENT |
3 | 0.0000131314 | TRANSFER LEARNING//MULTITASK LEARNING//DOMAIN ADAPTATION |
4 | 0.0000130951 | MULTIDIMENSIONAL INVARIANCE PRINCIPLE//CADLAG PROCESSES//L P ESTIMATORS |
5 | 0.0000126054 | LEHRSTUHL MATH INFORMAT//DIRKSEN//ROOTS SEPARATION |
6 | 0.0000114915 | WHITE NOISE MODEL//ADAPTIVE CURVE ESTIMATION//DENSITY DECONVOLUTION |
7 | 0.0000114311 | NONPARAMETRIC REGRESSION ESTIMATION//PARTITIONING ESTIMATE//INFINITE ORDER AUTOREGRESSIVE PROCESS |
8 | 0.0000096651 | SIGMOIDAL FUNCTIONS//COMMUN COMP SYST SCI DIST//RIDGE FUNCTION |
9 | 0.0000095992 | INDUCTIVE INFERENCE//PAC LEARNING//COMPUTATIONAL LEARNING THEORY |
10 | 0.0000095497 | LASSO//ORACLE PROPERTY//VARIABLE SELECTION |