Patent №
US 7,940,672
Granted
2011-05-10
Filed 2006
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION
Lab
AI components
2
ml · planning
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11540436
Systems and methods for the identification of correlated burst events among two or more data streams, given one or more specific query time spans are disclosed. Also broadly contemplated is the act of finding, from one or more data streams, those streams that have correlated burst events with another given data stream within a time span.
AI classification
Machine learning0.99
Planning0.65
Knowledge representation0.34
Speech0.08
AI hardware0.00
Vision0.00
Natural language0.00
Evolutionary computation0.00
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION
assignment · 185680563
Assignors
VLACHOS, MICHAIL, WU, KUN-LUNG, YU, PHILIP SHI-LUNG, CHEN, SHYH-KWEI
On an employer assignment, the assignors are typically the inventors.
From the same owner
METRIC LEARNING PREDICTION OF SIMULATION PARAMETERSUS 12,691,869 · 2026DETERMINATION AND ALLEVIATION OF ROOT CAUSES FOR EMISSION OF POLLUTANTS FROM VEHICLESUS 12,693,686 · 2026TRAINING AND USING A SENTIMENT MACHINE LEARNING MODULE TO RECEIVE AS INPUT HAPTIC METRIC VALUES TO DETERMINE A SENTIMENT SCORE FOR TEXT TO PROVIDE TO AN INTERACTIVE PROGRAMUS 12,693,779 · 2026DOMAIN-SPECIFICITY PREDICTION FOR NATURAL LANGUAGE PROCESSINGUS 12,694,208 · 2026USER INTERFACE AUTOMATION USING NATURAL LANGUAGEUS 12,694,222 · 2026NATURAL LANGUAGE DATA GENERATION USING AUTOMATED KNOWLEDGE DISTILLATION TECHNIQUESUS 12,694,236 · 2026NEURAL NETWORK SYSTEMS FOR ABSTRACT REASONINGUS 12,694,281 · 2026ACCELERATING INFERENCE OF NEURAL NETWORK MODELS VIA DYNAMIC EARLY EXITSUS 12,694,283 · 2026