Belief merging is concerned with the integration of several belief bases such that a coherent belief base is developed. Various belief merging models have been developed that use a...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Multiple simulation runs using the same simulation model with different values of control parameters usually generate large data sets that capture the variational aspects of the be...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
Despite recent advances in uncovering the quantitative features of stationary human activity patterns, many applications, from pandemic prediction to emergency response, require a...
Large-scale, ground-level urban imagery has recently developed as an important element of online mapping tools such as Google’s Street View. Such imagery is extremely valuable i...