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[39] Burr Settles - Curious Machines: Active Learning with Structured Instances

The Thesis Review

CHAPTER

Navigating Active Learning in Biomedical Machine Learning

This chapter explores the speaker's transition from art to biomedical machine learning, focusing on the challenges of data extraction and annotation. It delves into the concept of active learning, highlighting its distinction from traditional methods and discussing strategies for optimizing data training. Additionally, the chapter examines the role of human annotators and innovative querying methods to enhance the effectiveness of active learning in contemporary machine learning contexts.

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