Frontiers

Improving Machine Learning for Water Resources Through Scientific Knowledge Integration

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Learn With Jay on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
eLife

Decoding molecular mechanisms for loss-of-function variants in the human proteome

Proteins play a critical role in cellular function by interacting with other biomolecules; missense variants that cause loss of protein function can lead to a broad spectrum of genetic disorders.
GitHub

Adding of RMSE and Log-Cosh Loss Function in Machine learning for Model Evaluation

RMSE (Root Mean squared Error) metric to measure the difference between predicted and actual values in regression models. It represents the square root of the average squared differences between ...
IEEE

Adaptive Separately Constrained Triplet Loss (A-SCTL) for High-Performance Triplet Networks

Abstract: Triplet Networks (TNs) consist of three subchannels and are widely utilized in machine learning applications. The efficacy of TNs is highly dependent on the loss function employed during ...
IEEE

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics

Abstract: Modern machine learning often relies on optimizing a neural network’s parameters using a loss function to learn complex features. Beyond training, examining the loss function with respect to ...