Above are papers related to the following paper: [Paper_ID] Paper #1135955. 	[Title] No Free Lunch for Early Stopping [Abstract] We show that, with a uniform prior on hypothesis functions having the same training error, early stopping at some fixed training error above the training error minimum results in an increase in the expected generalization error. We also show that regularization methods are equivalent to early stopping with certain non-uniform prior on the early stopping solutions. Please summarise all the given information.

Above are papers related to the following paper: [Paper_ID] Paper #752684. 	[Title] Geometry of Early Stopping in Linear Networks [Abstract]  Please summarise all the given information.

Paper #1135955 has the title `No Free Lunch for Early Stopping  
` and the abstract `We show that, with a uniform prior on hypothesis functions having the same training error, early stopping at some fixed training error above the training error minimum results in an increase in the expected generalization error. We also show that regularization methods are equivalent to early stopping with certain non-uniform prior on the early stopping solutions.
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Question: Which category should Paper #1135955 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #1135955 has the title `No Free Lunch for Early Stopping  
` and the abstract `We show that, with a uniform prior on hypothesis functions having the same training error, early stopping at some fixed training error above the training error minimum results in an increase in the expected generalization error. We also show that regularization methods are equivalent to early stopping with certain non-uniform prior on the early stopping solutions.
`.
Question: Which category should Paper #1135955 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Neural_Networks