The criterion issue of spectral test in a linear congruential random number generator is considered. In this paper, we report on four variants of the normalized spectral test, measured both relative to either a theoretical or exact lower bound and aggregative to either a worst-case or average-case method. Computer exhaustive searches are conducted to evaluate and compare their statistical behav...

Background: Better understanding of factors associated with medical school performance is necessary to improve admission processes and to help students succeed in their career. This study follows a group of Iranian med students during their first 2.5 years of medical education, to evaluate their academic success in accordance with their demographic, cognitive and non-cognitive characteristics. ...

This paper describes a new training approach based on two different techniques (Minimum Classification Error and eigenvoices) in order to achieve a better robustness when only poor training data is provided. In the first two sections of this paper we describe the MCE training and the eigenvoice approach. Then a unified MCE/eigenvoice training algorithm is proposed describing theoretical advanta...

The in-training-set performance of a vector quantizer as a function of its training set size is investigated. For squared error distortion and independent training data, worst case type upper bounds are derived on the minimum training distortion achieved by an empirically optimal quantizer. These bounds show that the training distortion can underestimate the minimum distortion of a truly optima...

We describe an approach to understand the peculiar and counterintuitive generalization properties of deep neural networks. The approach involves going beyond worst-case theoretical capacity control frameworks that have been popular in machine learning in recent years to revisit old ideas in the statistical mechanics of neural networks. Within this approach, we present a prototypical Very Simple...

Automatic recognition of human activities is among the key capabilities of many intelligent systems with vision/perception. Most existing approaches to this problem require sophisticated feature extraction before classification can be performed. This paper presents a novel approach for human action recognition using only simple low-level visual features: motion captured from direct frame differ...

Manusia hanya akan menerima, menghindari, maupun mencegah risiko yang kemungkinan terjadi. Hal ini menghasilkan sebuah pengalihan dilakukan dengan cara menggunakan asuransi laut. General average merupakan kerugian disepakati oleh para pihak untuk ditanggung bersama dan pertanggungjawaban tersebut dipikul antara pihak. Average Adjuster penilai ditunjuk perusahaan dalam menangani klaim peristiwa ...