Class information for: |
Basic class information |
| ID | Publications | Average number of references |
Avg. shr. active ref. in WoS |
|---|---|---|---|
| 27706 | 183 | 30.7 | 43% |
Classes in level above (level 2) |
| ID, lev. above |
Publications | Label for level above |
|---|---|---|
| 1409 | 7552 | DIRICHLET PROCESS//MARKOV CHAIN MONTE CARLO//BAYESIAN NONPARAMETRICS |
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 | MEAN FIELD VARIATIONAL BAYES | Author keyword | 11 | 100% | 3% | 6 |
| 2 | EXPECTATION PROPAGATION | Author keyword | 5 | 26% | 8% | 15 |
| 3 | GAUSSIAN PROCESSES MODEL | Author keyword | 2 | 67% | 1% | 2 |
| 4 | NONCONJUGATE MODELS | Author keyword | 2 | 67% | 1% | 2 |
| 5 | OZONE CONCENTRATION PREDICTION | Author keyword | 2 | 67% | 1% | 2 |
| 6 | VARIATIONAL APPROXIMATION | Author keyword | 2 | 14% | 7% | 13 |
| 7 | HIERARCHICAL CENTERING | Author keyword | 2 | 43% | 2% | 3 |
| 8 | BAYESIAN PROBIT MODEL | Author keyword | 1 | 100% | 1% | 2 |
| 9 | EVOLVING GAUSSIAN PROCESS MODEL | Author keyword | 1 | 100% | 1% | 2 |
| 10 | PROBABILISTIC REGRESSION | Author keyword | 1 | 100% | 1% | 2 |
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 | GAUSSIAN PROCESS CLASSIFICATION | 5 | 55% | 3% | 6 |
| 2 | PROCESS CLASSIFICATION | 3 | 45% | 3% | 5 |
| 3 | SMOOTH MIXTURES | 1 | 50% | 1% | 1 |
| 4 | VARIATIONAL INFERENCE | 1 | 20% | 2% | 3 |
| 5 | PROCESS REGRESSION | 0 | 14% | 2% | 3 |
| 6 | LATENT GAUSSIAN MODELS | 0 | 33% | 1% | 1 |
| 7 | RANDOM EFFECTS SELECTION | 0 | 33% | 1% | 1 |
| 8 | APPROXIMATE INFERENCE | 0 | 12% | 2% | 3 |
| 9 | BAYESIAN CLASSIFICATION | 0 | 11% | 1% | 2 |
| 10 | DEVIANCE INFORMATION CRITERION | 0 | 17% | 1% | 1 |
Journals |
Reviews |
| Title | Publ. year | Cit. | Active references |
% act. ref. to same field |
|---|---|---|---|---|
| A review of deterministic approximate inference techniques for Bayesian machine learning | 2013 | 1 | 22 | 32% |
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 ENGN ENGN | 1 | 50% | 0.5% | 1 |
| 2 | MORI ARINORI HIGHER EDUC GLOBAL MOBIL | 1 | 50% | 0.5% | 1 |
| 3 | COMP NEUROENGN | 0 | 25% | 0.5% | 1 |
| 4 | ADV MAGNET IMAGING AMI | 0 | 20% | 0.5% | 1 |
| 5 | ERL 8196 | 0 | 17% | 0.5% | 1 |
| 6 | GRP ELECT ENGN | 0 | 17% | 0.5% | 1 |
| 7 | MATH SCI COMPLEX | 0 | 17% | 0.5% | 1 |
| 8 | ENGN PROC EQUIPMENT REMFG | 0 | 13% | 0.5% | 1 |
| 9 | INRIA FUTURS PROJECTS SELECT | 0 | 100% | 0.5% | 1 |
| 10 | MATH BAT 425 | 0 | 100% | 0.5% | 1 |
Related classes at same level (level 1) |
| Rank | Relatedness score | Related classes |
|---|---|---|
| 1 | 0.0000173868 | INTRINSIC PRIORS//BAYES FACTOR//INTRINSIC BAYES FACTOR |
| 2 | 0.0000160866 | GENERALIZATION ERROR//LINEAR PERCEPTRON//GENERAL THEORETICAL AND MATHEMATICAL BIOPHYSICS INC LOGIC OF BIOSYSTEMS QUANTUM BIOLOGY AND RELEVANT ASPEC |
| 3 | 0.0000153998 | CANTABRIAN BASIN AUTHOR//STATISTICAL LEARNING TECHNIQUES//TWO SCALE DISCRETIZATION |
| 4 | 0.0000118359 | TIME DEPENDENT QUANTUM SYSTEMS//THEROET PHYS//DSM SERV PHYS THEOR |
| 5 | 0.0000117668 | TRANSFER LEARNING//MULTITASK LEARNING//DOMAIN ADAPTATION |
| 6 | 0.0000106451 | MODEL BASED CLUSTERING//MIXTURE MODELS//NONPARAMETRIC MIXTURE |
| 7 | 0.0000103696 | CORRELATED MUTATIONS//CONTACT PREDICTION//CONTACT MAP PREDICTION |
| 8 | 0.0000096432 | ERYTHROID GENES//THERMOBIOL//ACLARUBICIN |
| 9 | 0.0000094204 | ADAPTIVE NETWORKS//DIFFUSION ADAPTATION//DISTRIBUTED ESTIMATION |
| 10 | 0.0000089351 | DIRICHLET PROCESS//BAYESIAN NONPARAMETRICS//POSTERIOR CONSISTENCY |