We propose a new boosting algorithm. This boosting algorithm is an adaptive version of the boost by majority algorithm and combines bounded goals of the boost by majority algorith...
In Reinforcement Learning (RL) there has been some experimental evidence that the residual gradient algorithm converges slower than the TD(0) algorithm. In this paper, we use the ...
In this paper we develop algorithms for distributed computation of a broad range of estimation and detection tasks over networks with arbitrary but fixed connectivity. The distri...
This paper presents an e cient hardware algorithm for variable-precision logarithm. The algorithm uses an iterative te chnique that employs table lookups and polynomial approximat...
Javier Hormigo, Julio Villalba, Michael J. Schulte
This paper considers an extension of a vehicle routing problem with backhauls (VRPB). In this problem, a set of costumers are divided in two subsets consisting of linehaul and bac...
Reza Tavakkoli-Moghaddam, A. R. Saremi, M. S. Ziae...