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• The error or variability of machine learning algorithms is often assessed byrepeatedly refitting a model with different weighted versions of the observeddata. The ubiquitous tools of cross-validation (CV) and the bootstrap …
04月15日. International Conference on Artificial Intelligence and Statistics
• We consider the approximation of expectations with respect to the distribution of a latent Markov process given noisy measurements. This is known as the smoothing problem and is often approached with particle and Marko…
04月15日. International Conference on Artificial Intelligence and Statistics
• Correspondence analysis (CA) is a multivariate statistical tool used to visualize and interpret data dependencies. CA has found applications in fields ranging from epidemiology to social sciences. However, current methods use…
04月15日. International Conference on Artificial Intelligence and Statistics
• {\em How much is my data worth?''} is an increasingly common question posed by organizations and individuals alike. An answer to this question could allow, for instance, fairly distributing profits among multiple data contribut…
04月15日. International Conference on Artificial Intelligence and Statistics