Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Since the discovery of the "Philadelphia chromosome" in chronic myelogenous leukemia in 1960, there is an ongoing intensive research of chromosomal aberrations in cancer....
There has been considerable recent interest in the use of haplotype structure to aid in the design and analysis of case-control association studies searching for genetic predictors...