[42] Charles Sutton - Efficient Training Methods for Conditional Random Fields
The Thesis Review
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Navigating Model Training Challenges
This chapter explores the intricacies of training models with Conditional Random Fields, highlighting strategies like piecewise training and pseudo likelihood to simplify learning. It contrasts traditional methods with modern approaches, emphasizing the evolution of machine learning techniques applied to code and programming languages. The discussion also underscores the importance of understanding specific application areas in machine learning and engaging with domain experts to identify impactful problems.
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