💡 Words with a Similar Meaning to "Label propagation algorithm"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| semi-supervised learning | — |
| supervised learning | In machine learning, supervised learning is a paradigm where a model is trained using input objects (e.g. a vector of predictor variables) and desired output values (also known as a supervisory signal), which are often human-made labels. |
| sequence labeling | In machine learning, sequence labeling is a type of pattern recognition task that involves the algorithmic assignment of a categorical label to each member of a sequence of observed values. |
| large margin nearest neighbor | Large margin nearest neighbor classification is a statistical machine learning algorithm for metric learning. |
| decision tree learning | a supervised learning approach used in statistics, data mining and machine learning. |
| feature learning | In machine learning, feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations needed for feature detection or classification from raw data. |
| gradient boosting | a machine learning technique based on boosting in a functional space, where the target is pseudo-residuals instead of residuals as in traditional boosting. |
| probabilistic neural network | A probabilistic neural network is a feedforward neural network, which is widely used in classification and pattern recognition problems. |
| conformal prediction | a machine learning framework for uncertainty quantification that produces statistically valid prediction regions (prediction intervals) for any underlying point predictor (whether statistical, machine, or deep learning) only assuming exchangeability of the data. |
| multi-label classification | In machine learning, multi-label classification or multi-output classification is a variant of the classification problem where multiple nonexclusive labels may be assigned to each instance. |
| perceptronnoun | an element, analogous to a neuron, of an artificial neural network consisting of one or more layers of artificial neurons |
| association rule learning | a rule-based machine learning method for discovering interesting relations between variables in large databases. |
| neighbourhood components analysis | a supervised learning method for classifying multivariate data into distinct classes according to a given distance metric over the data. |
| statistical learning theory | a framework for machine learning drawing from the fields of statistics and functional analysis. |
| structured prediction | Structured prediction or structured output learning is an umbrella term for supervised machine learning techniques that involves predicting structured objects, rather than discrete or real values. |
| graph neural network | Graph neural networks are specialized artificial neural networks that are designed for tasks whose inputs are graphs. |
| probabilistic classification | In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should belong to. |
| margin classifier | In machine learning, a margin classifier is a type of classification model which is able to give an associated distance from the decision boundary for each data sample. |
| platt scalingnoun | (machine learning) A technique for transforming the outputs of a classification model into a probability distribution over classes, based on a logistic regression model. |
| probabilistic programming | a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically. |
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