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Optimal choice: new machine learning problem and its solution
The task of learning to pick a single preferred example out a finite set of examples, an "optimal choice problem", is a supervised machine learning problem with complex, structured input.
Learnable: Theory vs Applications
Two different views on machine learning problem: Applied learning (machine learning with business applications) and Agnostic PAC learning are formalized and compared here.
Logic of Machine Learning
The measure of these violations ("errors") for given data, hypothesis and particular type of predictability beliefs is formalized as concept of incongruity in modal Logic of Observations and Hypotheses (LOH).
Theory of Machine Learning with Limited Data
Application of machine learning may be understood as deriving new knowledge for practical use through explaining accumulated observations, training set.
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