A* |
|
A* Search Algorithm
|
A/B Testing |
|
A statistical method for comparing two or more treatments or algorithms
|
A3C |
|
Asynchronous Advantage Actor-Critic
|
ABAC |
|
Attribute-Based Access Control
|
ACE |
|
Alternating conditional expectation algorithm
|
ACO |
|
Ant Colony Optimization
|
AdA |
|
Adaptive Agent
|
Adam |
|
Adaptive Moment Estimation
|
ADASYN |
|
Adaptive Synthetic Sampling
|
ADT |
|
Automatic Drum Transcription
|
AE |
|
Autoencoder
|
AGC |
|
Adaptive Gradient Clipping
|
AGI |
|
Artificial general intelligence
|
AI |
|
Artificial intelligence
|
AIaaS |
|
Artificial Intelligence as a Service
|
AIWPSO |
|
Adaptive Inertia Weight Particle Swarm Optimization
|
AL |
|
Active Learning
|
AM |
|
Activation maximization
|
AMR |
|
Abstract Meaning Representation
|
AMT |
|
Automatic Music Transcription
|
ANI |
|
Artificial Narrow Intelligence
|
ANN |
|
Artificial neural network
|
ANOVA |
|
Analysis of variance
|
API |
|
Application Programming Interface
|
AR |
|
Augmented reality
|
ARNN |
|
Anticipation Recurrent Neural Network
|
ASI |
|
Artificial superintelligence
|
ASIC |
|
Application-Specific Integrated Circuit
|
ASR |
|
Automatic speech recognition
|
AST |
|
Automated speech translation
|
AUC |
|
Area Under the Curve
|
AutoML |
|
Automated Machine Learning
|
BB84 |
|
A quantum key distribution protocol (named after its inventors, Bennett and Brassard, and the year 1984)
|
BBO |
|
Biogeography-Based Optimization
|
BCE |
|
Binary cross-entropy
|
BDT |
|
Boosted Decision Tree
|
BERT |
|
Bidirectional Encoder Representations from Transformers
|
BFS |
|
Breadth-First Search
|
BI |
|
Business Intelligence
|
BiFPN |
|
Bidirectional Feature Pyramid Network
|
BILSTM |
|
Bidirectional Long Short-Term Memory
|
BLEU |
|
Bilingual evaluation understudy
|
BN |
|
Bayesian Network
|
BNN |
|
Bayesian Neural Network
|
BO |
|
Bayesian Optimization
|
BP |
|
Backpropagation
|
BPE |
|
Byte Pair Encoding
|
BPMF |
|
Bayesian Probabilistic Matrix Factorization
|
BPN |
|
Backpropagation Neural Network
|
BPTT |
|
Backpropagation through time
|
BQML |
|
Big Query Machine Learning
|
BR |
|
Best-Response (in game theory)
|
BRNN |
|
Bidirectional Recurrent Neural Network
|
BRR |
|
Bayesian ridge regression
|
CAD |
|
Computer-Aided Design
|
CAE |
|
Contractive Autoencoder
|
CALA |
|
Continuous Action-set Learning Automata
|
CAM |
|
Computer-Aided Manufacturing
|
CAPTCHA |
|
Completely Automated Public Turing test to tell Computers and Humans Apart
|
CART |
|
Classification And Regression Tree
|
CASE |
|
Computer-Aided Software Engineering
|
CatBoost |
|
Categorical Boosting
|
CAV |
|
Concept Activation Vectors
|
CBAC |
|
Content-Based Access Control
|
CBI |
|
Counterfactual Bias Insertion
|
CBOW |
|
Continuous Bag of Words
|
CBR |
|
Case-Based Reasoning
|
CCA |
|
Canonical Correlation Analysis
|
CCC |
|
Canonical Correlation Coefficients
|
CCE |
|
Categorical cross-entropy
|
CDBN |
|
Convolutional Deep Belief Networks
|
CE |
|
Cross-Entropy
|
CEC |
|
Constant Error Carousel
|
CEGAR |
|
Counterexample-Guided Abstraction Refinement
|
CEGIS |
|
Counterexample-Guided Inductive Synthesis
|
CF |
|
Common Features
|
cGAN |
|
Conditional Generative Adversarial Network
|
CL |
|
Confident learning
|
CLIP |
|
Contrastive Language-Image Pre-Training
|
CLNN |
|
ConditionaL Neural Networks
|
CMA |
|
Covariance Matrix Adaptation
|
CMA-ES |
|
Covariance Matrix Adaptation Evolution Strategy
|
CMAC |
|
Cerebellar Model Articulation Controller
|
CMMs |
|
Conditional Markov Model
|
CNN |
|
Convolutional neural network
|
COIN-OR |
|
Computational Infrastructure for Operations Research
|
ConvNet |
|
Convolutional Neural Network
|
COTE |
|
Collective of Transformation-Based Ensembles
|
CP |
|
Constraint Programming
|
CPLEX |
|
An optimization solver (from "C" programming language and "simplex")
|
CPN |
|
Colored Petri Nets
|
CRBM |
|
Conditional Restricted Boltzmann Machine
|
CRF |
|
Conditional Random Field
|
CRFs |
|
Conditional Random Fields
|
CRNN |
|
Convolutional Recurrent Neural Network
|
CSLR |
|
Continuous Sign Language Recognition
|
CSP |
|
Constraint Satisfaction Problem
|
CSV |
|
Comma-separated values
|
CT-LSTM |
|
Convolutional Transformer Long Short-Term Memory
|
CTC |
|
Connectionist Temporal Classification
|
CTR |
|
Collaborative Topic Regression
|
CUDA |
|
Compute Unified Device Architecture
|
CV |
|
Computer Vision, Cross validation, Coefficient of variation
|
Cyc |
|
CycL and OpenCyc, a knowledge representation and reasoning system
|
D* |
|
Dynamic A* Search Algorithm
|
DAAF |
|
Data Augmentation and Auxiliary Feature
|
DaaS |
|
Data as a Service
|
DAE |
|
Denoising AutoEncoder or Deep AutoEncoder
|
DAML |
|
DARPA Agent Markup Language
|
DART |
|
Disturbance Aware Regression Tree
|
DBM |
|
Deep Boltzmann Machine
|
DBN |
|
Deep belief network
|
DBSCAN |
|
Density-Based Spatial Clustering of Applications with Noise
|
DCAI |
|
Data-centric AI
|
DCGAN |
|
Deep Convolutional Generative Adversarial Network
|
DCMDN |
|
Deep Convolutional Mixture Density Network
|
DDPG |
|
Deep Deterministic Policy Gradient
|
DE |
|
Differential evolution
|
DeconvNet |
|
DeConvolutional Neural Network
|
DeepLIFT |
|
Deep Learning Important FeaTures
|
DFS |
|
Depth-First Search
|
DL |
|
Deep learning
|
DNN |
|
Deep neural network
|
DP |
|
Dynamic Programming
|
DQN |
|
Deep Q-Learning
|
DR |
|
Detection Rate
|
DRL |
|
Deep Reinforcement Learning
|
DS |
|
Data Science
|
DSN |
|
Deep Stacking Network
|
DSR |
|
Deep Symbolic Reinforcement Learning
|
DSS |
|
Decision Support System
|
DSW |
|
Data Stream Warehousing
|
DT |
|
Decision Tree
|
DTD |
|
Deep Taylor Decomposition
|
DWT |
|
Discrete Wavelet Transform
|
EDA |
|
Exploratory data analysis
|
EKF |
|
Extended Kalman Filter
|
ELECTRA |
|
Efficiently Learning an Encoder that Classifies Token Replacements Accurately
|
ELM |
|
Extreme Learning Machine
|
ELMo |
|
Embeddings from Language Models
|
ELU |
|
Exponential Linear Unit
|
EM |
|
Expectation maximization
|
EMD |
|
Entropy Minimization Discretization
|
ERNIE |
|
Enhanced Representation through kNowledge IntEgration
|
ES |
|
Evolution Strategies
|
ESN |
|
Echo State Network
|
ETL |
|
Extract, Transform, Load
|
ETL Pipeline |
|
Extract Transform Load Pipeline
|
EXT |
|
Extremely Randomized Trees
|
F1 |
|
F1 Score (harmonic mean of precision and recall)
|
F1 Score |
|
Harmonic Precision-Recall Mean
|
FALA |
|
Finite Action-set Learning Automata
|
Fast R-CNN |
|
Faster Region-based Convolutional Neural Network
|
FC |
|
Fully-Connected
|
FC-CNN |
|
Fully Convolutional Convolutional Neural Network
|
FC-LSTM |
|
Fully Connected Long Short-Term Memory
|
FCM |
|
Fuzzy C-Means
|
FCN |
|
Fully Convolutional Network
|
FER |
|
Facial Expression Recognition
|
FFT |
|
Fast Fourier transform
|
FL |
|
Federated Learning
|
FLOP |
|
Floating Point Operations
|
FLOPS |
|
Floating Point Operations Per Second
|
FN |
|
False negative
|
FNN |
|
Feedforward Neural Network
|
FNR |
|
False negative rate
|
FOAF |
|
Friend of a Friend (ontology)
|
FP |
|
False positive
|
FPGA |
|
Field-Programmable Gate Array
|
FPN |
|
Feature Pyramid Network
|
FPR |
|
False positive rate
|
FST |
|
Finite state transducer
|
FTL |
|
Few-Shot Learning
|
FWA |
|
Fireworks Algorithm
|
FWIoU |
|
Frequency Weighted Intersection over Union
|
GA |
|
Genetic Algorithm
|
GALE |
|
Global Aggregations of Local Explanations
|
GAM |
|
Generalized Additive Model
|
GAN |
|
Generative Adversarial Network
|
GAP |
|
Global Average Pooling
|
GBDT |
|
Gradient Boosted Decision Tree
|
GBM |
|
Gradient Boosting Machine
|
GBRCN |
|
Gradient-Boosting Random Convolutional Network
|
GD |
|
Gradient descent
|
GEBI |
|
Global Explanation for Bias Identification
|
GFNN |
|
Gradient frequency neural network
|
GLCM |
|
Gray Level Co-occurrence Matrix
|
GLM |
|
Generalized Linear Model
|
GLOM |
|
A neural network architecture by Geoffrey Hinton
|
Gloss2Text |
|
A task of transforming raw glosses into meaningful sentences.
|
GloVE |
|
Global Vectors
|
GLPK |
|
GNU Linear Programming Kit
|
GLUE |
|
General Language Understanding Evaluation
|
GMM |
|
Gaussian mixture model
|
GP |
|
Genetic Programming
|
GPR |
|
Gaussian process regression
|
GPT |
|
Generative Pre-Training
|
GPU |
|
Graphics processing unit
|
GradCAM |
|
GRADient-weighted Class Activation Mapping
|
GRU |
|
Gated recurrent unit
|
Gurobi |
|
An optimization solver (named after its founders, Zonghao Gu, Edward Rothberg, and Robert Bixby)
|
HamNoSys |
|
Hamburg Sign Language Notation System
|
HAN |
|
Hierarchical Attention Networks
|
HC |
|
Hierarchical Clustering
|
HCA |
|
Hierarchical Clustering Analysis
|
HDP |
|
Hierarchical Dirichlet process
|
HF |
|
Hugging Face
|
HHDS |
|
HipHop Dataset
|
hLDA |
|
Hierarchical Latent Dirichlet allocation
|
HMM |
|
Hidden Markov Model
|
HNN |
|
Hopfield Neural Network
|
HOG |
|
Histogram of Oriented Gradients (feature descriptor)
|
Hopfield |
|
Hopfield Network
|
HPC |
|
High Performance Computing
|
HRED |
|
Hierarchical Recurrent Encoder-Decoder
|
HRI |
|
Human-Robot Interaction
|
HSMM |
|
Hidden Semi-Markov Model
|
HTM |
|
Hierarchical Temporal Memory
|
i.i.d |
|
Independent and Identically Distributed
|
i.i.d. |
|
Independently and identically distributed
|
IaaS |
|
Infrastructure as a Service
|
ICA |
|
Independent component analysis
|
ICP |
|
Iterative Closest Point (point cloud registration)
|
ID3 |
|
Iterative Dichotomiser 3
|
IDA* |
|
Iterative Deepening A* Search Algorithm
|
IDR |
|
Input dependence rate
|
IG |
|
Invariant Generation
|
IID |
|
Independently and identically distributed
|
IIR |
|
Input independence rate
|
ILASP |
|
Inductive Learning of Answer Set Programs
|
ILP |
|
Integer Linear Programming
|
INFD |
|
Explanation Infidelity
|
IoA |
|
Internet of Agents
|
IoE |
|
Internet of Everything
|
IoT |
|
Internet of Things
|
IoU |
|
Jaccard index (intersection over union)
|
IR |
|
Information Retrieval
|
ISIC |
|
International Skin Imaging Collaboration
|
IVR |
|
Interactive Voice Response
|
K-Means |
|
K-Means Clustering
|
KB |
|
Knowledge Base
|
KDE |
|
Kernel Density Estimation
|
KF |
|
Kalman Filter
|
kFCV |
|
K-fold cross validation
|
KL |
|
Kullback Leibler (KL) divergence
|
KNN |
|
K-nearest neighbors
|
KR |
|
Knowledge Representation
|
KRR |
|
Kernel Ridge Regression
|
LAION |
|
Large-scale Artificial Intelligence Open Network
|
LAMA |
|
LAnguage Model Analysis
|
LaMDA |
|
Language Models for Dialog Applications
|
LBP |
|
Local Binary Pattern (texture descriptor)
|
LDA |
|
Latent Dirichlet Allocation
|
LDADE |
|
Latent Dirichlet Allocation Differential Evolution
|
LEPOR |
|
Language Evaluation Portal
|
LightGBM |
|
Light Gradient Boosting Machine
|
LIME |
|
Local Interpretable Model-agnostic Explanations
|
LINGO |
|
A software for linear, nonlinear, and integer optimization
|
LLM |
|
Large language model
|
LLS |
|
Linear least squares
|
LMNN |
|
Large Margin Nearest Neighbor
|
LoLM |
|
Lots of Little Models
|
LP |
|
Linear Programming
|
LPAQA |
|
Language model Prompt And Query Archive
|
LRP |
|
Layer-wise Relevance Propagation
|
LSA |
|
Latent semantic analysis
|
LSI |
|
Latent Semantic Indexing
|
LSTM |
|
Long short-term memory
|
LSTM-CRF |
|
Long Short-Term Memory with Conditional Random Field
|
LTR |
|
Learning To Rank
|
LVQ |
|
Learning Vector Quantization
|
M2M |
|
Machine to Machine
|
MADE |
|
Masked Autoencoder for Distribution Estimation
|
MAE |
|
Mean absolute error
|
MAF |
|
Masked Autoregressive Flows
|
MAIRL |
|
Multi-Agent Inverse Reinforcement Learning
|
MAP |
|
Maximum A Posteriori (MAP) Estimation
|
MAPE |
|
Mean absolute percentage error
|
MARL |
|
Multi-Agent Reinforcement Learning
|
MART |
|
Multiple Additive Regression Tree
|
MaxEnt |
|
Maximum Entropy
|
MAXSAT |
|
Maximum Satisfiability Problem
|
MCLNN |
|
Masked ConditionaL Neural Networks
|
MCMC |
|
Markov Chain Monte Carlo
|
MCS |
|
Model contrast score
|
MCTS |
|
Monte Carlo Tree Search
|
MDL |
|
Minimum description length (MDL) principle
|
MDN |
|
Mixture Density Network
|
MDP |
|
Markov Decision Process
|
MDRNN |
|
Multidimensional recurrent neural network
|
MER |
|
Music Emotion Recognition
|
METEOR |
|
Metric for Evaluation of Translation with Explicit ORdering
|
MIL |
|
Multiple Instance Learning
|
MILP |
|
Mixed-Integer Linear Programming
|
MINT |
|
Mutual Information based Transductive Feature Selection
|
MIoU |
|
Mean Intersection over Union
|
MIP |
|
Mixed-Integer Programming
|
ML |
|
Machine learning
|
MLaaS |
|
Machine Learning as a Service
|
MLE |
|
Maximum Likelihood Estimation
|
MLLM |
|
Multimodal large language model
|
MLM |
|
Music Language Models
|
MLP |
|
Multi-Layer Perceptron
|
MMI |
|
Maximum Mutual Information
|
MNIST |
|
Modified National Institute of Standards and Technology
|
MOEA |
|
Multi-Objective Evolutionary Algorithm
|
MPA |
|
Mean Pixel Accuracy
|
MR |
|
Mixed Reality
|
MRF |
|
Markov Random Field
|
MRR |
|
Mean Reciprocal Rank
|
MRS |
|
Music Recommender System
|
MSDAE |
|
Modified Sparse Denoising Autoencoder
|
MSE |
|
Mean squared error
|
MSR |
|
Music Style Recognition
|
MTL |
|
Multi-Task Learning
|
NARX |
|
Nonlinear AutoRegressive with eXogenous input (neural network model)
|
NAS |
|
Neural Architecture Search
|
NB |
|
Na ̈ıve Bayes
|
NBKE |
|
Na ̈ıve Bayes with Kernel Estimation
|
NDCG |
|
Normalized Discounted Cumulative Gain
|
NE |
|
Nash Equilibrium (in game theory)
|
NEAT |
|
NeuroEvolution of Augmenting Topologies
|
NER |
|
Named entity recognition
|
NERQ |
|
Named Entity Recognition in Query
|
NEST |
|
Neural Simulation Tool
|
NF |
|
Normalizing Flow
|
NFL |
|
No Free Lunch (NFL) theorem
|
NISQ |
|
Noisy Intermediate-Scale Quantum (quantum computing)
|
NLG |
|
Natural Language Generation
|
NLP |
|
Natural Language Processing
|
NLT |
|
Neural Machine Translation
|
NLU |
|
Natural Language Understanding
|
NMF |
|
Non-negative matrix factorization
|
NMS |
|
Non Maximum Suppression
|
NMT |
|
Neural Machine Translation
|
NN |
|
Neural network
|
NNMODFF |
|
Neural Network based Multi-Onset Detection Function Fusion
|
NPE |
|
Neural Physical Engine
|
NRMSE |
|
Normalized RMSE
|
NSGA-II |
|
Non-dominated Sorting Genetic Algorithm II
|
NST |
|
Neural style transfer
|
NTM |
|
Neural Turing Machine
|
NuSVC |
|
Nu-Support Vector Classification
|
NuSVR |
|
Nu-Support Vector Regression
|
OBM |
|
One Big Model
|
OCR |
|
Optical character recognition
|
OD |
|
Object Detection
|
ODF |
|
Onset Detection Function
|
OIL |
|
Ontology Inference Layer
|
OLR |
|
Ordinary Linear Regression
|
OLS |
|
Ordinary Least Squares
|
OMNeT++ |
|
Objective Modular Network Testbed in C++
|
OMR |
|
Optical Mark Recognition
|
OOF |
|
Out-of-fold
|
ORB |
|
Oriented FAST and Rotated BRIEF (feature descriptor)
|
OWL |
|
Web Ontology Language
|
PA |
|
Pixel Accuracy
|
PaaS |
|
Platform as a Service
|
PACO |
|
Poisson Additive Co-Clustering
|
PaLM |
|
Pathways Language Model
|
PBAC |
|
Policy-Based Access Control
|
PCA |
|
Principal component analysis
|
PCL |
|
Point Cloud Library (3D perception)
|
PECS |
|
Physics Engine for Collaborative Simulation
|
PEGASUS |
|
Pre-training with Extracted Gap-Sentences for Abstractive Summarization
|
PF |
|
Particle Filter
|
PFE |
|
Probabilistic facial embedding
|
PLSI |
|
Probabilistic Latent Semantic Indexing
|
PM |
|
Project Manager
|
PMF |
|
Probabilistic Matrix Factorization
|
PMI |
|
Pointwise Mutual Information
|
PNN |
|
Probabilistic Neural Network
|
POC |
|
Proof of Concept
|
POMDP |
|
Partially Observable Markov Decision Process
|
POS |
|
Part of Speech (POS) Tagging
|
POT |
|
Partially Observable Tree (decision-making under uncertainty)
|
PPL |
|
Perplexity (a measure of language model performance)
|
PPMI |
|
Positive Pointwise Mutual Information
|
PPO |
|
Proximal Policy Optimization
|
PReLU |
|
Parametric Rectified Linear Unit-Yor Topic Modeling
|
PRM |
|
Probabilistic Roadmap (motion planning algorithm)
|
PSO |
|
Particle Swarm Optimization
|
PU |
|
Positive Unlabaled
|
PYTM |
|
Pitman
|
QA |
|
Question Answering
|
QAOA |
|
Quantum Approximate Optimization Algorithm
|
QAP |
|
Quadratic Assignment Problem
|
QEC |
|
Quantum Error Correction
|
QFT |
|
Quantum Fourier Transform
|
QIP |
|
Quantum Information Processing
|
QKD |
|
Quantum Key Distribution
|
QML |
|
Quantum Machine Learning
|
QNN |
|
Quantum Neural Network
|
QP |
|
Quadratic Programming
|
QPE |
|
Quantum Phase Estimation
|
R-CNN |
|
Region-based Convolutional Neural Network
|
R2 |
|
R-squared
|
RandNN |
|
Random Neural Network
|
RANSAC |
|
RANdom SAmple Consensus
|
RBAC |
|
Rule-Based Access Control
|
RBF |
|
Radial Basis Function
|
RBFNN |
|
Radial Basis Function Neural Network
|
RBM |
|
Restricted Boltzmann Machine
|
RDF |
|
Resource Description Framework
|
REALM |
|
Retrieval-Augmented Language Model Pre-Training
|
ReCAPTCHA |
|
Reverse CAPTCHA
|
ReLU |
|
Rectified Linear Unit
|
REPTree |
|
Reduced Error Pruning Tree
|
RETRO |
|
Retrieval Enhanced Transformer
|
RF |
|
Random forest
|
RFE |
|
Recursive Feature Elimination
|
RGB |
|
Red Green Blue color model
|
RICNN |
|
Rotation Invariant Convolutional Neural Network
|
RIM |
|
Recurrent Interence Machines
|
RIPPER |
|
Repeated Incremental Pruning to Produce Error Reduction
|
RISE |
|
Random Interval Spectral Ensemble
|
RL |
|
Reinforcement learning
|
RLFM |
|
Regression based latent factors
|
RLHF |
|
Reinforcement Learning from Human Feedback
|
RMSE |
|
Root mean squared error
|
RMSLE |
|
Root mean squared logarithmic error
|
RMSprop |
|
Root Mean Square Propagation
|
RNN |
|
Recurrent neural network
|
RNNLM |
|
Recurrent Neural Network Language Model (RNNLM)
|
RoBERTa |
|
Robustly Optimized BERT Pretraining Approach
|
ROC |
|
Receiver operating characteristic
|
ROI |
|
Region Of Interest
|
ROS |
|
Robot Operating System
|
ROUGE |
|
Recall-Oriented Understudy for Gisting Evaluation (NLP metric)
|
RPA |
|
Robotic Process Automation
|
RR |
|
Ridge Regression
|
RRT |
|
Rapidly-exploring Random Tree (motion planning algorithm)
|
RSI |
|
Recursive self-improvement
|
RTRL |
|
Real-Time Recurrent Learning
|
SA |
|
Simulated Annealing
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SaaS |
|
Software as a Service
|
SAC |
|
Soft Actor-Critic
|
SAE |
|
Stacked AE
|
SARSA |
|
State-Action-Reward-State-Action
|
SAT |
|
Satisfiability Problem
|
SBAC |
|
Situation-Based Access Control
|
SBM |
|
Stochastic block model
|
SBO |
|
Structured Bayesian optimization
|
SBSE |
|
Search-based software engineering
|
SCH |
|
Stochastic convex hull
|
SCIP |
|
Solving Constraint Integer Programs
|
SDAE |
|
Stacked DAE
|
seq2seq |
|
Sequence to Sequence Learning
|
SER |
|
Sentence Error Rate
|
SGBoost |
|
Stochastic Gradient Boosting
|
SGD |
|
Stochastic gradient descent
|
SGVB |
|
Stochastic Gradient Variational Bayes
|
SHAP |
|
SHapley Additive exPlanation
|
SHLLE |
|
Supervised Hessian Locally Linear Embedding
|
SIFT |
|
Scale-Invariant Feature Transform (feature detection)
|
Sign2(Gloss+Text) |
|
Sign to Gloss and Text
|
Sign2Gloss |
|
A one to one translation from the single sign to the single gloss.
|
Sign2Text |
|
A task of full translation from the sign language into the spoken one
|
SL |
|
Supervised learning
|
SLAM |
|
Simultaneous Localization and Mapping
|
SLDS |
|
Switching Linear Dynamical System
|
SLP |
|
Single-Layer Perceptron
|
SLRT |
|
Sign Language Recognition Transformer
|
SLT |
|
Sign Language Translation
|
SLTT |
|
Sign Language Translation Transformer
|
SMA* |
|
Simplified Memory-bounded A* Search Algorithm
|
SMBO |
|
Sequential Model-Based Optimization
|
SMO |
|
Sequential Minimal Optimization
|
SMOTE |
|
Synthetic Minority Over-sampling Technique
|
SNN |
|
Sparse Neural Network
|
SOM |
|
Self-Organizing Map
|
SOTA |
|
State of the Art
|
SPARQL |
|
SPARQL Protocol and RDF Query Language
|
Spiking NN |
|
Spiking Neural Network
|
SPM |
|
SentencePiece Model (subword tokenization)
|
SpRay |
|
Spectral Relevance Analysis
|
SSD |
|
Single-Shot Detector
|
SSL |
|
Self-Supervised Learning
|
SSVM |
|
Smooth support vector machine
|
ST |
|
Style transfer
|
STaR |
|
Self-Taught Reasoner
|
STDA |
|
Style Transfer Data Augmentation
|
STDP |
|
Spike Timing-Dependent Plasticity
|
STL |
|
Selt-Taught Learning
|
SUMO |
|
Simulation of Urban Mobility
|
SURF |
|
Speeded-Up Robust Features (feature detection)
|
SVC |
|
Support Vector Classification
|
SVD |
|
Singing Voice Detection
|
SVM |
|
Support vector machine
|
SVR |
|
Support Vector Regression
|
SVS |
|
Singing Voice Separation
|
SWI-Prolog |
|
Semantic Web Interface for Prolog
|
t-SNE |
|
t-distributed stochastic neighbor embedding
|
T5 |
|
Text-To-Text Transfer Transformer
|
TD |
|
Temporal Difference
|
TDA |
|
Targeted Data Augmentation
|
TDE |
|
Time Domain Ensemble
|
tf-idf |
|
term frequency–inverse document frequency
|
TGAN |
|
Temporal Generative Adversarial Network
|
THAID |
|
THeta Automatic Interaction Detection
|
TINT |
|
Tree-Interpreter
|
TL |
|
Transfer Learning
|
TLFN |
|
Time-Lagged Feedforward Neural Network
|
TN |
|
True negative
|
TNR |
|
True negative rate
|
ToM |
|
Theory of Mind
|
TP |
|
True positive
|
TPOT |
|
Tree-based Pipeline Optimization Tool
|
TPR |
|
True positive rate
|
TPU |
|
Tensor Processing Unit
|
TRPO |
|
Trust Region Policy Optimization
|
TS |
|
Tabu Search
|
TSF |
|
Time Series Forest
|
TSP |
|
Traveling Salesman Problem
|
TTS |
|
Text-to-Speech
|
UCT |
|
Upper Confidence bounds applied to Trees (Monte Carlo Tree Search variant)
|
UDA |
|
Unsupervised Data Augmentation
|
UKF |
|
Unscented Kalman Filter
|
UL |
|
Unsupervised learning
|
ULMFiT |
|
Universal Language Model Fine-Tuning
|
UMAP |
|
Uniform Manifold Approximation and Projection
|
USM |
|
Universal Speech Model
|
V-Net |
|
Volumetric Convolutional neural network
|
VAD |
|
Voice Activity Detection
|
VAE |
|
Variational AutoEncoder
|
VGG |
|
Visual Geometry Group
|
VHRED |
|
Variational Hierarchical Recurrent Encoder-Decoder
|
VISSIM |
|
A traffic simulation software (from "Verkehr In Städten
|
ViT |
|
Vision Transformer
|
VPNN |
|
Vector Product Neural Network
|
VQ-VAE |
|
Vector Quantized Variational Autoencoders
|
VQE |
|
Variational Quantum Eigensolver
|
VR |
|
Virtual reality
|
VRP |
|
Vehicle Routing Problem
|
VUI |
|
Voice User Interface
|
WCSP |
|
Weighted Constraint Satisfaction Problem
|
WER |
|
Word Error Rate
|
WFST |
|
Weighted finite-state transducer (WFST)
|
WGAN |
|
Wasserstein Generative Adversarial Network
|
WMA |
|
Weighted Majority Algorithm
|
WPE |
|
Weighted Prediction Error
|
XAI |
|
Explainable Artificial Intelligence
|
XGBoost |
|
eXtreme Gradient Boosting
|
XOR |
|
Exclusive OR (a common problem in neural networks)
|
YOLO |
|
You Only Look Once
|
ZSL |
|
Zero-Shot Learning
|