BACKGROUND The central common pathway, which is the target for ablation in reentrant ventricular tachycardia, can be localized by entrainment mapping techniques. However, localization of the pathway is not always possible because of the elevated pacing threshold and the low voltage and fractionated potentials at the pathway. We examined whether return cycle mapping after entrainment localizes t...

Much of what we know about cognitive mapping comes from observing how biological agents behave in their physical environments, and several of these ideas were implemented on robots, imitating such a process. In this paper a novel approach to cognitive mapping is presented whereby robots are treated as a species of their own and their cognitive mapping is being investigated. Such robots are refe...

This paper presents a novel method for classifying an image into one of predeened classes in a data bank by applying mutual information to a representation of the Fourier amplitude domain. Template and test images are made translation and rotation invariant through the Fourier-Mellin transform. While mutual information could be employed here, we choose instead to apply it to the lower dimension...

We discsus Hinton’s (1989) relative payoff procedure (RPP), a static reinforcement learning algorithm whose foundation is not stochastic gradient ascent. We show circumstances under which applying the RPP is guaranteed to increase the mean return, even though it can make large changes in the values of the parameters. The proof is based on a mapping between the RPP and a form of the expectation-...

We discuss Hinton’s (1989) relative payoff procedure (RPP), a static reinforcement learning algorithm whose foundation is not stochastic gradient ascent. We show circumstances under which applying the RPP is guaranteed to increase the mean return, even though it can make large changes in the values of the parameters. The proof is based on a mapping between the RPP and a form of the expectation-...

Satellite is often used as an access network in the Next Generation Networks landscape, where multimedia and real-time services are supported by return channels. However, these satellite return channels are a very limited resource with many terminal stations competing for its use, making its efficient assignation one of the key problems to solve in order to increase network performance. This ar...

We consider the problem of active learning on a function that varies with time. A common approach is to employ a learning algorithm that reduces the contribution of data points as they become older. With this method an active learner will decide to resample regions of the space where all the data has become fairly old. We propose an alternative that calls for the learner to retain all data. As ...

The Internal Rate of Return (IRR) is used in economics as a popular method for project evaluation. Its major challenge, however, is to calculate all real rates. This paper presents an algorithm that can be used to calculate all return rates through introducing a heuristic approach based on several mathematical theorems. In order to better understand the different steps of the proposed algorithm...

rivers are important water resources for human life, but sometimes cause irreparable damages. the flood plains are fertile terrains which are endangered by flood. flood hazard mapping is one of the basic methods in flood fighting. in order to decline flood damages, the simulation of the hydraulic behavior of the rivers during flood occurrence is very important. in this study, areas that are flo...

Abstract— Future planetary exploration missions will use cooperative robots to explore and sample rough terrain. To succeed robots will need to cooperatively acquire and share data. Here a cooperative multi-agent sensing architecture is presented and applied to the mapping of a cliff surface. This algorithm efficiently repositions the systems’ sensing agents using an information theoretic appro...