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Data Pipelines For AI Agents: Building The Backbone Of Intelligent Automation
The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...
RAG is dead: why enterprises are shifting to agent-based AI architectures
The shift from RAG to agent-based architectures represents a natural evolution in enterprise AI implementation. As organizations gain practical experience, they're adapting their approaches to better ...
IEEE5d
Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data - IEEE Xplore
Abstract: This paper deals with the tuning of the free parameters of the Support Vector Regression technique used for the retrieval of geo/bio-physical variables from remotely sensed data. We propose ...
IEEE3d
A global support vector regression based on sorted K-fold method
Support vector regression (SVR), as one of the most popular metamodels, has been widely used to replace expensive and time-consuming simulation models in complex engineering design process. In this ...