Every field speaks their own dialect. Some are here:
- Discrete outcome regression, multiclass logistic regression, softmax, maximum entropy (MaxEnt), multinomial logit, categorical data analysis.
- Multiple response, multivariate outcome, multiple outcome regression, multitask learning
- Ranking with co-variates, learning-to-rank
- Random effect models, collaborative filtering, recommender systems, matrix factorisation
- Subset selection, feature selection
- Binary regression, logistic regression, dichotomous regression
- Generalized linear additive models, neural networks
- Ordinal variables, ordered categorical variables
- Spatial models/processes with co-variates, conditional random fields
- Multiple binary outcomes, multivariate logistic, multilabel learning, multivariate probits
- Features, independent variables, input variables, risk factors, explanatory variables
- Models, machines, networks, architectures
- Structured outputs, networked classifier, collective classification, conditional random fields
(To be continued).
