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Entities25 of 207,987
- large language modeltechnology1,043 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct192 mentions
- AI agenttechnology188 mentions
- ChatGPTproduct178 mentions
- Anthropicorganization177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
uncertainty quantification
technology45 mentionslast seen Nov 13, 2026
The characterization of uncertainty in direction of arrival estimation that is integrated with DoA recovery in the proposed framework.
Relationships 42
- deep ensembledepends onuncertainty quantification92% confidence1 source
- HealthMambacomposed ofuncertainty quantification92% confidence1 source
- Evidential Deep Learningimplementsuncertainty quantification90% confidence1 source
- Bayesian BiLOapplies touncertainty quantification90% confidence1 source
- uncertainty quantificationapplies toLLM reasoning90% confidence1 source
- uncertainty quantificationapplies tomaterials-property prediction90% confidence1 source
- visual SLAMdepends onuncertainty quantification90% confidence1 source
- large language modeldepends onuncertainty quantification90% confidence1 source
- uncertainty quantificationdepends onkernel score90% confidence1 source
- Evidential Lifelong Classifierdepends onuncertainty quantification90% confidence1 source
- model misspecification-aware uncertainty schemedepends onuncertainty quantification90% confidence1 source
- variational graph neural networkdepends onuncertainty quantification88% confidence1 source
- uncertainty quantificationapplies tosafety-critical control systems88% confidence1 source
- uncertainty quantificationdepends onconformal prediction88% confidence1 source
- repulsive ensembleapplies touncertainty quantification88% confidence1 source
- machine learning interatomic potentialdepends onuncertainty quantification88% confidence1 source
- virtual PIN-button input systemdepends onuncertainty quantification88% confidence1 source
- deep learning modeldepends onuncertainty quantification88% confidence1 source
- deep ensembleimplementsuncertainty quantification88% confidence1 source
- uncertainty quantificationapplies toout of distribution detection87% confidence1 source
- meta-learningdepends onuncertainty quantification87% confidence1 source
- uncertainty quantificationapplies toactive learning87% confidence1 source
- kernel methoddepends onuncertainty quantification85% confidence1 source
- RuNNer 2.0depends onuncertainty quantification85% confidence1 source
- active learningdepends onuncertainty quantification85% confidence1 source
- uncertainty quantificationdepends onuncertainty-aware neural network85% confidence1 source
- Linear Parameter-Varying state-space modeldepends onuncertainty quantification85% confidence1 source
- uncertainty quantificationcomposed ofepistemic uncertainty85% confidence1 source
- uncertainty quantificationcomposed ofaleatoric uncertainty85% confidence1 source
- Bayesian reconstructiondepends onuncertainty quantification85% confidence1 source
- Conflict-aware Evidential Deep Learningimplementsuncertainty quantification85% confidence1 source
- sparse equation discoverydepends onuncertainty quantification85% confidence1 source
- efficient global optimizationcomposed ofuncertainty quantification85% confidence1 source
- committee divide-and-conquer learningdepends onuncertainty quantification80% confidence1 source
- uncertainty quantificationdepends onsystem identification80% confidence1 source
- sparse sensing reconstructiondepends onuncertainty quantification80% confidence1 source
- direction-of-arrival estimationdepends onuncertainty quantification80% confidence1 source
- federated causal learningdepends onuncertainty quantification80% confidence1 source
- levodopa equivalent daily dose forecastingdepends onuncertainty quantification80% confidence1 source
- uncertainty quantificationcomposed ofMonte Carlo Dropout80% confidence1 source
- uncertainty quantificationcomposed ofDeep Evidential Regression80% confidence1 source
- last-layer-projection regressiondepends onuncertainty quantification78% confidence1 source
Relationship
kernel methoddepends onuncertainty quantification
85% confidence1 supporting mentions
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Sources 1