💡 Words with a Similar Meaning to "Supervised learning"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| label propagation algorithm | Label propagation is a semi-supervised machine learning algorithm that assigns labels to previously unlabeled data points. |
| semi-supervised learning | — |
| 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. |
| 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. |
| probabilistic neural network | A probabilistic neural network is a feedforward neural network, which is widely used in classification and pattern recognition problems. |
| 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. |
| statistical learning theory | a framework for machine learning drawing from the fields of statistics and functional analysis. |
| sample complexity | The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. |
| activation functionnoun | (computer science) A function that defines the output of a particular node in an artificial neural network on the basis of its inputs. |
| 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. |
| active learningnoun | A method of learning in which students actively take part in devising the learning process. |
| deep reinforcement learning | (deep RL) a subfield of machine learning that combines reinforcement learning and deep learning. |
| hyperparameternoun | (machine learning) A parameter whose value is set before the learning process begins. |
| 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. |
| 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. |
| manifold regularization | In machine learning, Manifold regularization is a technique for using the shape of a dataset to constrain the functions that should be learned on that dataset. |
| graph neural network | Graph neural networks are specialized artificial neural networks that are designed for tasks whose inputs are graphs. |
| probabilistic programming | a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically. |
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