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Trang chủAI Thuật ngữAI FundamentalsAUC

AI Thuật ngữ

0-9
1-shot learning3D Reconstruction5G + AI6DoF pose estimation7D representation8-bit quantization2-stage detector4D data0-shot learning9-layer network3D convolution
A
A/B TestingAccountabilityAccuracyAcoustic ModelingActivation FunctionsActive LearningActor-Critic MethodsActuatorsAdaDeltaAdaGradAdam OptimizerAdjusted R-SquaredAdversarial AttacksAffordance LearningAgent-Based ModelingAgentic AI / Autonomous AgentsAgentic AI FrameworksAgglomerative ClusteringAGI / Artificial General IntelligenceAI AcceleratorsAI Act (EU)AI AgentsAI AlignmentAI and BiasAI and SustainabilityAI APIsAI Art GenerationAI AssistantsAI AuditAI AuditingAI Bill of Rights (US Blueprint)AI ContainmentAI DemocratizationAI Ethics BoardsAI Ethics GuidelinesAI Feature StoreAI for Climate ChangeAI Generated ContentAI Governance FrameworksAI GuardrailsAI HallucinationsAI in Healthcare EthicsAI in WarfareAI LegislationAI LiteracyAI MarketplacesAI Model GovernanceAI Model HubAI Model RegistryAI Model WeightsAI Music GenerationAI OrchestrationAI PolicyAI RegulationsAI SafetyAI SecurityAI SingularityAI Transparency ReportAI WatermarkingAI WinterAI Workflow AutomationAI-as-a-ServiceAlan TuringAlgorithmic AccountabilityAlgorithmic Bias MitigationAlgorithmic DiscriminationAlgorithmic TransparencyAndrew NgAnomaly DetectionAnomaly Detection in SecurityAnthropicApache KafkaAPI DevelopmentAPI EndpointsApriori AlgorithmArtificial General Intelligence (AGI)Artificial Neural NetworksArtificial SuperintelligenceASICsAssociation Rule LearningAsynchronous Advantage Actor-CriticAttention MechanismsAUCAudio ClassificationAudio Signal ProcessingAugmented RealityAuthenticationAuthorizationAutoencoderAutoencodersAutomated ReasoningAutomatic Speech Recognition (ASR)AutomationAutoMLAutonomous NavigationAutoregressive ModelsAttentionAlgorithmArtificial Intelligence (AI)
B
BackpropagationBag-of-Words ModelBaggingBatch SizeBayesian InferenceBayesian NetworksBayesian OptimizationBERTBias in AIBias-Variance TradeoffBig DataBig Data TechnologiesBiometric SecurityBLEU ScoreBlockchain in AIBoostingBox PlotByte-Pair Encoding (BPE)Batch NormalizationBias
C
CaffeCalculusCalibrationCalifornia Consumer Privacy Act (CCPA)Canary DeploymentCapsule NetworksCarbon Footprint of AICase-Based ReasoningCatastrophic ForgettingCentral Limit TheoremChain-of-ThoughtChatbotChinese Room ArgumentClass ImbalanceClassificationCloud AI PlatformsCloud ComputingClustering AlgorithmsClusteringCNN / Convolutional Neural NetworkCode Generation ModelsCognitive ArchitecturesCognitive ComputingCohereColab NotebooksCollaborative FilteringColor SpacesComplex AnalysisComplianceCompliance Standards (ISO IEEE)Computational ComplexityComputational Fluid DynamicsComputational Theory of MindCompute-Optimal ModelsConcept DriftConceptual GraphsConditional ProbabilityConfusion MatrixConsciousness in AIConsistency ModelsConstitutional AIConstraint Satisfaction ProblemsContainerizationContent-Based FilteringContext WindowContinual LearningContinuous Integration/Continuous Deployment (CI/CD)Control SystemsConversational AIConvolutional Neural NetworksCOPPACoreference ResolutionCorrelationCorrelation MatrixCost-Sensitive LearningCross-Entropy LossCross-ValidationCurriculum LearningCyber Threat IntelligenceCybersecurity RegulationsClassifier / Classification
D
DALL·EData AnnotationData CatalogData CentersData CleaningData DriftData GovernanceData IngestionData IntegrationData LabelingData LakeData LakesData LeakageData LineageData MiningData PipelineData PoisoningData PreprocessingData PrivacyData ProtectionData Protection LawsData QualityData SecurityData SovereigntyData TransformationData VersioningData VisualizationData Visualization TechniquesData WarehousingDatabases for AIDavies-Bouldin IndexDBSCANDecision Boundary VisualizationDecision TreesDeep Belief NetworksDeep LearningDeep Q-NetworksDeep Reinforcement LearningDeepfakeDeepfakesDeepMindDemis HassabisDependency ParsingDepth EstimationDescriptive StatisticsDialogue SystemsDifferential EquationsDifferential EvolutionDifferential PrivacyDiffusion ModelsDigital DivideDigital ProvenanceDigital TwinsDimensionality ReductionDirect Preference Optimization (DPO)Discourse AnalysisDiscrete Event SimulationDiscrete MathematicsDisinformationDistributed ComputingDistributed File SystemsDistributed TrainingDockerDronesDropoutDropout RegularizationDynamical SystemsDiscriminative ModelDeterministic ModelData Augmentation
E
Early StoppingEdge AIEdge ComputingEdge DetectionEigenvalues and EigenvectorsElon MuskEmbeddingEmbedding SizeEmbeddingsEmbodied AIEmergent AbilitiesEmotion RecognitionEncoderEnsemble MethodsEpisodic MemoryEpochEthical AIEthical AI GuidelinesEthical AuditingEthical Decision-MakingEthical DilemmasEthical FrameworksEthics of AIETL ProcessesEvolutionary AlgorithmsExistential RiskExpectation-MaximizationExpectation-Maximization AlgorithmExpected Calibration ErrorExpert SystemsExplainabilityExploration vs. ExploitationExploratory Data AnalysisExport ControlsEnsemble LearningExplainable AI (XAI)
F
F1 ScoreFacial RecognitionFairnessFastAIFeature EngineeringFeature ImportanceFeature SelectionFeature StoreFeature StoresFederated LearningFei-Fei LiFew-Shot LearningFine-tuningFinite Element AnalysisFirst-Order LogicFlow MatchingForce ControlFoundation Model EconomyFoundation ModelsFourier TransformFPGAsFrame LanguagesFunctional AnalysisFusion / Multimodal FusionForward PropagationFoundation ModelFeature Extraction
G
Game Playing AIGame TheoryGame Theory SimulationsGAN / Generative Adversarial NetworkGated Recurrent UnitsGaussian Mixture ModelsGeneral Data Protection Regulation (GDPR)Generative Adversarial NetworksGenerative ModelsGenetic AlgorithmsGensimGeoffrey HintonGlobal CooperationGPT ModelsGrad-CAMGradient Boosting MachinesGradient ClippingGradient DescentGraph Neural NetworksGraph TheoryGraphics Processing Units (GPUs)Grid SearchGroundingGraph Neural Network (GNN)Generative AI
H
HadoopHeatmapHelpHeuristic AlgorithmsHidden Markov ModelsHierarchical Reinforcement LearningHigh-Performance ComputingHIPAAHyperparameterHistogramHOGHPC ClustersHugging FaceHugging Face TransformersHuman RightsHuman-in-the-LoopHuman-Robot InteractionHyperparameter OptimizationHyperparameter TuningHeuristicHidden LayerHierarchical ModelHallucination
I
Imbalanced DataInterpretabilityIlya SutskeverImage CaptioningImage ClassificationImage RecognitionImage SegmentationImpact on EmploymentIn-Context LearningIndustrial RobotsInferenceInference EnginesInference OptimizationInferential StatisticsInformation TheoryInformed ConsentInfrastructure as CodeInstance SegmentationInstruction tuningIntellectual Property RightsIntelligent AgentsIntrusion Detection SystemsInverse Reinforcement LearningInstance / SampleIntelligence Amplification / Augmentation
J
JAXJitteringJohn McCarthyJoint EmbeddingJoint Probability DistributionJSONL / JSON-linesJuergen SchmidhuberJupyter NotebooksJuxtaposition
K
KL Divergence (Kullback–Leibler Divergence)K-means ClusteringK-Nearest NeighborsK-Shot LearningKai-Fu LeeKalman FiltersKerasKernel TrickKnowledge DistillationKnowledge CutoffKnowledge GraphsKnowledge RepresentationKubernetes
L
Latent VariableLoss FunctionL1 RegularizationL2 RegularizationLabel SmoothingLanguage ModelingLanguage ModelsLaplace TransformLarge Language Models (LLMs)Large Multimodal ModelsLatent Dirichlet AllocationLatent SpaceLaw of Large NumbersLayer NormalizationLearning CurveLearning Rate DecayLearning Rate SchedulingLemmatizationLIMELinear AlgebraLinear RegressionLog LossLogic ProgrammingLogistic RegressionLong Short-Term Memory NetworksLong-Context ModelsLoRA (Low-Rank Adaptation)LSTM / Long Short-Term MemoryLarge Language Model (LLM)Learning Rate
M
Multimodal / MultimodalityMachine Learning (ML)Machine ConsciousnessMachine TranslationMarkov Chain ModelsMarkov Chain Monte CarloMarkov Decision ProcessesMarkov ModelsMarvin MinskyMasked Language ModelsMaster Data ManagementMatplotlibMatrix DecompositionMCPMean Absolute ErrorMean Squared ErrorMechanistic InterpretabilityMel-Frequency Cepstral Coefficients (MFCCs)Meta-learningMetadata ManagementMicroservicesMidjourneyMind UploadingMini ToolMini-Batch Gradient DescentMixture of Experts (MoE)MLOpsMobile RobotsModel CardsModel CompressionModel DeploymentModel DriftModel Explainability ToolsModel MonitoringModel ServingModel StealingMomentum OptimizationMonitoring and LoggingMonte Carlo MethodsMonte Carlo SimulationsMoral MachinesMotion DetectionMotion PlanningModelMulti-Armed Bandit ProblemMulti-head AttentionMultimodal AIMusic Information RetrievalMXNet
N
NormalizationNeural Networkn-GramsNaive Bayes AlgorithmNaive Bayes ClassifierNamed Entity RecognitionNatural Language Generation (NLG)Natural Language ProcessingNatural Language Processing (NLP)Natural Language UnderstandingNesterov Accelerated GradientNetwork SimulationsNeural Architecture SearchNeural NetworksNeural Processing Unit (NPU)Neuromorphic ComputingNick BostromNLP / Natural Language ProcessingNLTKNLU / Natural Language UnderstandingNoise ReductionNoSQL DatabasesNumPyNVIDIA CUDANovelty Detection / Anomaly Detection
O
Objective FunctionOnline LearningObject DetectionObject TrackingOne-hot EncodingOntologiesOpenAIOpenAI GPTOptical Character RecognitionOptimization TheoryOut-of-Distribution (OOD) DataOverfittingOptimizer
P
Policy / Reinforcement Learning PolicyPandasParallel ComputingParameter CountParameter-Efficient Fine-Tuning (PEFT)Part-of-Speech TaggingPartial Dependence PlotsPath PlanningPattern RecognitionPeople also viewedPerception in AIPerceptronPerplexityPeter NorvigPhilosophy of MindPhoneticsPipelinesPlanning and SchedulingPlotlyPolicy GradientsPolicy OptimizationPoolingPose EstimationPositional EncodingPragmaticsPrecisionPredictive ModelingPredictive ProbabilityPreference TuningPretrainingPrincipal Component AnalysisPrivacyPrivacy-Preserving Machine LearningProbability Density FunctionsProbability TheoryProblem SolvingProcess ModelingProcess-Based SupervisionPrompt ChainingPrompt EngineeringPrompt InjectionPromptPrompt MarketplacePrompt TemplatesPropositional LogicProximal Policy OptimizationPruningPyTorchParameter
Q
Queue / BufferQuantizationQ-learningQLoRA (Quantized Low-Rank Adaptation)Quantum ComputingQuantum Machine LearningQuestion AnsweringQuestion Answering SystemsQueryQuality Estimation
R
Retrieval Augmented Generation (RAG)Representation LearningReinforcement Learning (RL)R-SquaredRandom ForestsRandom SearchRay KurzweilReal AnalysisReasoning EnginesRecallRecommender SystemsRecurrent Neural NetworksRed TeamingRegressionRegression AnalysisRegularizationRegulatory ComplianceReinforcement Learning from Human FeedbackReinforcement Learning in RoboticsReproducibilityResponsible AIRetrieval-Augmented GenerationReward FunctionRMSpropRNN / Recurrent Neural NetworkRobot KinematicsRobot VisionRobotic ManipulationRobotic Operating System (ROS)Robotics TransformersRobustness in AI ModelsROC CurveRodney BrooksRoot Mean Squared ErrorRule-Based Systems
S
Supervised LearningSelf-Supervised LearningSequence ModelingSaliency MapsSamplingSARSA AlgorithmScalable OversightScaling LawsScatter PlotScikit-LearnSciPySeabornSearch AlgorithmsSecure HardwareSecure Multi-Party ComputationSecure ProtocolsSelf-AttentionSelf-Driving CarsSemantic NetworksSemantic ParsingSemantic Role LabelingSemantic SegmentationSemantic WebSemi-Supervised LearningSensorsSentencePieceSentiment AnalysisSequence LabelingServerless ComputingServerless GPUsSet TheorySHAP ValuesSiamese NetworksSIFTSilhouette ScoreSimulated AnnealingSimulation HypothesisSimulation-to-Real Transfer (Sim2Real)Simultaneous Localization and Mapping (SLAM)SMOTESocial Acceptance of AISocial SimulationSoftmaxSOTA (State of the Art)spaCySparkSpeaker DiarizationSpectrogram AnalysisSpeech EnhancementSpeech RecognitionSpeech SynthesisSpiking Neural NetworksSQLStable DiffusionStackingState-Action PairsStatistical AnalysisStatistical DistributionsStatisticsStemmingStochastic Gradient DescentStochastic ModelingStochastic ProcessesStop WordsStream ProcessingStrong AIStrong vs. Weak AIStuart RussellStyle TransferSubword TokenizationSupport Vector MachinesSURFSurveillanceSwarm IntelligenceSymbolic AISynthetic Data GenerationSynthetic MediaSystem DynamicsSystem Prompt
T
Training Datat-SNETeacher ForcingTechnological SingularityTeleoperationTemperatureTemporal Difference LearningTensor Processing Units (TPUs)TensorFlowTesting and ValidationText SummarizationText-to-Audio GenerationText-to-Image GenerationText-to-Speech (TTS)Text-to-Video GenerationTF-IDFTheanoTime Series AnalysisTimnit GebruTinyMLToken LimitTokenizationTokenizerTokensTool Use (LLMs)Topic ModelingTopologyTransfer LearningTransformerTransformer ModelsTransformer NetworksTransparencyTransparency RequirementsTrust Region Policy OptimizationTrustworthy AITruthfulness (in LLMs)Tuning / Hyperparameter TuningTuring Test
U
Universal Approximation TheoremUnsupervised LearningU-NetUMAPUnderfittingUnmanned Aerial Vehicles (UAVs)Unmanned Ground VehiclesUncertainty Estimation
V
Variational Autoencoder (VAE)Vector EmbeddingVanishing / Exploding GradientValidation SetValidation CurveValue FunctionVector DatabaseVersion Control for ModelsVibe code an AI ToolVideo Generation ModelsVirtual Reality SimulationsVision Transformer (ViT)Voice BiometricsVoice CloningVoice Conversion
W
Weak SupervisionWarmup StepsWeak AIWeight DecayWhitening / Whitening TransformationWord EmbeddingWord EmbeddingsWord Sense DisambiguationWordPieceWorkflowWorld Models
X
XOR problemX-axis / feature axisXAI / Explainable AIXLMXLNet
Y
Y-axis / feature axisY-transform / YUVYAGNI (You Aren't Gonna Need It)Yann LeCunYield (model yield / throughput)Yoga of AIYoshua Bengio
Z
Z-score NormalizationZero-gradient phenomenonZero-shot Learning / Zero-shot inferenceZero-centric / Zero-bias initializationZero Trust ArchitectureZygosity in augmentation

AUC

AI Fundamentals
eɪ ju si
Cập nhật lần cuối: 11 tháng 3, 2026

AUC, or Area Under the Curve, is a performance measurement for classification problems at various threshold settings. It represents the degree or measure of separability achieved by a model, indicating how well the model can distinguish between classes. The AUC value ranges from 0 to 1, where a value of 0.5 suggests no discriminative ability, while a value of 1 indicates perfect classification. AUC is commonly used in conjunction with Receiver Operating Characteristic (ROC) curves to evaluate the performance of binary classifiers. It is particularly useful in scenarios where the classes are imbalanced, providing a single metric to summarize model performance across all classification thresholds.

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