— Robots typically have many sensors which are underutilized. This is usually because no simple mathematical models of the sensors have been developed or the sensors are too nois...
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
We describe a new pruning approach to remove phrase pairs from translation models of statistical machine translation systems. The approach applies the original translation system ...
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...