We revisit several maximization problems for geometric networks design under the non-crossing constraint, first studied by Alon, Rajagopalan and Suri (ACM Symposium on Computation...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
In the mobile facility location problem, which is a variant of the classical Uncapacitated Facility Location and kMedian problems, each facility and client is assigned to a start ...
In this paper, we propose an approach to the computation of more accurate divided differences for the interpolation in the Newton form of the matrix exponential propagator ϕ(hA)v...
This paper analyzes bilateral multi-issue negotiation between selfinterested agents. Specifically, we consider the case where issues are divisible, there are time constraints in ...
S. Shaheen Fatima, Michael Wooldridge, Nicholas R....