Shay Moran

This paper discusses learning-based methods for better decision-making in computing tasks.

List learning allows computers to provide multiple answers, improving accuracy in AI systems.

Examining the transition from general concept classes to extremal classes in data analysis.

Exploring limited feedback in machine learning classification tasks.

Exploring new algorithms for multiclass classification under limited feedback conditions.

Examining credit attribution's role in machine learning and copyright issues.

Exploring the intersection of data privacy and continuous learning methods.

A look at how we teach computers to learn from examples.

Learn how machines can improve by learning from multiple tasks simultaneously.

Explore multiclass classification, challenges, and powerful boosting techniques.