首页|New Artificial Intelligence Findings Reported from Virginia Polytechnic Institut e and State University (Virginia Tech) (Lori: Local Low-rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence)
New Artificial Intelligence Findings Reported from Virginia Polytechnic Institut e and State University (Virginia Tech) (Lori: Local Low-rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to news reporting out of Blacksburg, Vi rginia, by NewsRx editors, research stated, “Artificial intelligence (AI) has pl ayed an important role for data-driven decision making in complex engineering pr oblems. However, there has been a huge waste of efforts to configure AI methods (e.g., to select preprocessing and modeling methods, etc.), catering to differen t contexts (e.g., data analytics objectives, data distributions, etc.).” Financial support for this research came from National Science Foundation (NSF). Our news journalists obtained a quote from the research from Virginia Polytechni c Institute and State University (Virginia Tech), “In current practice, data sci entists need to manually configure the AI methods in trial-and-errors according to a specific context, including determining the different options of the pipeli ne components and evaluating the advantages and limitations of an AI method. In this article, we propose a local low-rank response imputation (Lori) method, whi ch will automatically configure AI methods to specific contexts by completing a sparse context-pipeline response matrix. Different from the traditional recommen dation systems, Lori performs multivariate partition of the entire context-pipel ine response matrix based on the principal Hessian directions of the low-rank im puted response matrix. Thus, the partitioned local low-rank response matrices ca n be closely modeled to automatically match the AI methods with the datasets.”
BlacksburgVirginiaUnited StatesNor th and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine LearningVirginia Polytechnic Institute and State University (Virginia Tech)
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