Efficient feature engineering & regularization control model complexity & overfitting. Meta-learning, automation & scalability help. Fine-tuned pretrained models can prove to be innovative ...

Abstract: Model complexity control and regularization play a crucial role in statistical learning theory and also for problems in system identification. This text discusses the potential of the issue ...

In this paper, we present a robust adaptive model predictive control (MPC) scheme for linear systems subject to parametric uncertainty and additive disturbances. The proposed approach provides a ...

It was observed from the analysis of all the three complexity measures that the patients with MCI-AD have reduced complexity with respect to the control group. Reduction in complexity was displayed in ...

Iceberg Model There are many different versions of this model, most of them convey the concept that the bulk of the factors that control what is visible fall below the water line and are invisible .

Unifying Multi-Cloud Operations to Tackle Complexity and Control Cost BrandPost By Mark Leake, Senior Director, Cloud Management Business Unit, VMware Feb 9, 2023 4 mins ...

Despite cloud's many benefits, only one-third of AI workloads exclusively use public clouds due to regulatory, cost, and latency concerns that are driving on-premises adoption.

Opinion: How Model-Based Design helps FOC Algorithm execution in EVs An average electric vehicle (EV) user has no idea about Field-Oriented Control (FOC) algorithm that works silently under the hood.

Market SynopsisThe Global In-vitro Lung Model Market is valued at USD 0.71 billion in 2024 and is projected to reach a value ...