IEEE

Comparative Analysis of Feature Engineering-Based Learning and Deep Learning Approaches for Classification Problems on Imbalanced Datasets

Abstract: This study aimed to compare the overall performance of two prominent machine learning approaches for tackling classification problems: feature engineering-based learning and deep learning.

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Optimizing MLP Network Structure for Classification Problems Using PSO and Dominating Vertex Set

Abstract: Developing high performance neural networks remains a significant challenge in classification problems. This is largely due to the considerable impact of the neural network architecture on ...
Ars Technica

Testing shows why the Steam Machine’s 8GB of graphics RAM could be a problem

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...