This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
The existing credit-based mechanisms mainly focus on stimulating the rational packet droppers to relay other nodes' packets, but they cannot identify the irrational packet dro...
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
In environmental and natural resource planning domains actions are taken at a large number of locations over multiple time periods. These problems have enormous state and action s...
Both academics and practitioners have invested considerably in the information systems evaluation arena, yet rewards remain elusive. The aim of this paper is to provide rich insig...