More Than Semi-Supervised Learning: A Unified View on Learning with Labeled and Unlabeled Data

More Than Semi-Supervised Learning: A Unified View on Learning with Labeled and Unlabeled Data

Zenglin Xu , Irwin King , Michael R. Lyu
아직 평점이 없습니다
영어 · 페이퍼백
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책 세부 정보

형식 페이퍼백
언어 영어
출판사 LAP LAMBERT Academic Publishing

설명

In this insightful exploration of machine learning, the authors delve into the complexities of semi-supervised learning, presenting a cohesive framework that integrates both labeled and unlabeled data. They provide a comprehensive analysis of the methodologies involved, demonstrating how these techniques can enhance the efficiency and performance of learning models.

By synthesizing key concepts and innovative approaches, the work offers a valuable resource for researchers and practitioners alike, aiming to push the boundaries of what's possible within the realm of data science. This unified perspective serves as a guide for those looking to harness the full potential of their datasets in various applications.
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