General regression and classification models are constructed as linear combinations of simple rules derived from the data. Each rule consists of a conjunction of a small number of simple statementsâ€¦ (More)

Regularization in linear regression and classiÂ…cation is viewed as a twoÂ–stage process. First a set of candidate models is deÂ…ned by a path through the space of joint parameter values, and then aâ€¦ (More)

Learning a function of many arguments is viewed from the perspective of highâ€“ dimensional numerical quadrature. It is shown that many of the popular ensemble learning procedures can be cast in thisâ€¦ (More)

Regularization in linear modeling is viewed as a twoÂ–stage process. First a set of candidate models is deÂ…ned by a path through the space of joint parameter values, and then a point on this path isâ€¦ (More)

1.1 Some caveats The knowledge discovery task for this question was particularly diffieuit. The reason is that one of the datasets provided to perform such task (the aggregated dataset) wasâ€¦ (More)