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Found 2 from your keywords: author=Sugiyama, Masashi
Dataset Shift in Machine Learning
This work is an overview of recent efforts in the machine learning community to deal with dataset and covariate shift which occurs when test and training inputs and outputs have different distributions.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262255103
- Collation
- 1 online resource (xv, 229 pages) :illustrations.
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Machine learning in non-stationary environments :introduction to covariate sh…
As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robo…
- Edition
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- ISBN/ISSN
- 9780262301220
- Collation
- 1 online resource (xiv, 261 pages) :illustrations.
- Series Title
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- Call Number
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