Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
: Simplifying data programming is a core mission of data management research. The issue at stake is to help engineers build efficient and robust data-centric applications. The fron...
We present a streaming algorithm for reconstructing closed surfaces from large non-uniform point sets based on a geometric convection technique. Assuming that the sample points ar...
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
Developers using statically typed languages such as C and Java are increasingly having to interoperate with APIs and object models defined in dynamic languages. This impedance mis...