11min chapter

Machine Learning Street Talk (MLST) cover image

Jonas Hübotter (ETH) - Test Time Inference

Machine Learning Street Talk (MLST)

CHAPTER

Advancements in Active Learning and Retrieval Techniques

This chapter examines the evolution of machine learning methodologies, focusing on the distinctions between traditional and active learning approaches. It highlights the integration of localized learning strategies with information retrieval techniques while addressing the limitations of nearest neighbor search methods. Through practical examples, including a discussion on Michael Jordan, the chapter emphasizes the importance of relevance, diversity, and non-redundancy in enhancing machine learning model performance.

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