Subset: AiTechniquesSubset

Entities from the DPV ai/modules/techniques submodule.

Identifier and Mapping Information

Schema Source

from schema: https://w3id.org/lmodel/dpv/ai

Classes in subset

Class	Description
AudioProcessing	Technique involving processing audio
BayesianEstimation	Refers to Bayesian estimation approach
BayesianNetwork	Probabilistic technique that uses Bayesian inference for probability
BayesianOptimisation	Refers to Bayesian optimisation technique
ConvolutionalNeuralNetwork	Feed forward neural network using convolution in at least one of its
DecisionTree	Technique for which inference is encoded as paths from the root to a
DeepLearning	Approach to creating rich hierarchical representations through the
FeedForwardNeuralNetwork	Neural network where information is fed from the input layer to the
FrugalMachineLearning	Machine learning techniques that aim to make models more efficient,
GeneticAlgorithm	Algorithm which simulates natural selection by creating and evolving a
HeuristicProgramming	Programming approach designed to tackle problems for which there lacks a
InductiveProgramming	An algorithm or program featuring recursive calls or repetition control
KnowledgeRepresentation	Encoding knowledge in a formal language or in a form that can be used
KnowledgeTechnique	Techniques based on the use of knowledge bases
LogicTechnique	Refers to logic based techniques
LongShortTermMemory	Type of recurrent neural network that processes sequential data with a
MachineLearning	Process of optimising model parameters through computational techniques,
NeuralNetwork	Network of one or more layers of neurons connected by weighted links
OptimisationMethod	Refers to optimisation Method
ReasoningTechnique	Refers to reasoning techniques
RecurrentNeuralNetwork	Neural network in which outputs from both the previous layer and the
ReinforcementLearning	Learning of an optimal sequence of actions to maximise a reward through
RuleBasedTechnique	Artificial intelligence approach governed by human-defined rules that
SearchMethod	Refers to statistical-based search Methods
SelfSupervisedLearning	Machine learning approach that uses unsupervised learning for tasks that
SemiSupervisedLearning	Machine learning that makes use of both labelled and unlabelled data
StatisticalTechnique	Refers to techniques that are based on statistics
SupervisedLearning	Machine learning that makes only use of labelled data during training
SupportVectorMachine	A machine learning algorithm that finds decision boundaries with maximal
SymbolicReasoning	Reasoning based on the knowledge encoded in a formal language
TrainingTechnique	Process to determine or to improve the parameters of a machine learning
TransferLearning	a technique in machine learning in which knowledge learned from a task
UnsupervisedLearning	Machine learning that makes only use of unlabelled data during training