Abstract One of the most common metrics to evaluate neural network classifiers is area under receiver operating characteristic curve (AUC). However, optimisation AUC as loss function during training not a standard procedure. Here we compare minimising cross-entropy (CE) and optimising directly. In particular, analyse landscape (LFL) approximate (appAUC) functions discover organisation this solut...

Pulse phase is the basic measurements of X-ray pulsar-based navigation, and thus how to estimate a pulse for an orbiting spacecraft important. The current methods on-orbit estimation could provide accurate performance enhancing with photon amount, but its central processing unit (CPU) time cost also increases sharply increase amount. In this paper, method based on cross-entropy adaptive moment ...

An electrocardiogram (ECG) is a non-invasive study used for the diagnosis of cardiac arrhythmias (CAs). The identification arrhythmia depends on its classification. This classification has been approached through different strategies, both mathematical and computational. In this work, new computational model based particle swarm optimization (PSO) algorithm convolutional neural network (CNN) pr...

In this letter, we investigate an intelligent reflecting surface (IRS)-assisted millimeter-wave multiple-input single-output downlink wireless communication system. By jointly calculating the active beamforming at base station and passive IRS, aim to minimize transmit power under constraint of each user’ signal-to-interference-plus-noise ratio. To solve problem, propose a low-complexity machine...

We investigate the Cerium – isostructural phase transition by explicitly incorporating finite temperature mixing of the Ce nonmagnetic and magnetic states. Unique to our approach is the calculation of vibrational properties from phonon theory. The critical behavior of the transition is shown to be controlled by the configurational mixing entropy between the magnetic and nonmagnetic states. Our ...

The Expectation-Maximization (EM) algorithm is a very popular optimization tool in model-based clustering problems. However, while the algorithm is convenient to implement and numerically very stable, it only produces solutions that are locally optimal. Thus, EM may not achieve the globally optimal solution to clustering problems, which can have a large number of local optima. This paper introd...

The Cross-Entropy (CE) is an efficient method for the estimation of rare-event probabilities and combinatorial optimization. This work presents a novel approach of the CE for optimization of a Soft-Computing controller. A Fuzzy controller was designed to command an unmanned aerial system (UAS) for avoiding collision task. The only sensor used to accomplish this task was a forward camera. The CE...

Tetris is a video game that has been widely used as a benchmark for various optimization techniques including approximate dynamic programming (ADP) algorithms. A look at the literature of this game shows that while ADP algorithms that have been (almost) entirely based on approximating the value function (value function based) have performed poorly in Tetris, the methods that search directly in ...