Comparison of hierarchical temporal memories and artificial neural networks under noisy data

The ability of two different machine learning approaches to map non-linear problems from experimental data is evaluated under controlled experiments. A well-known machine learning algorithm (Artificial Neural Network) is compared against a new computing paradigm (Hierarchical Temporal Memory) under a controlled scenario. The chosen scenario is the detection of impacts in a cantilever beam under vibration instrumented with fiber Bragg gratings. The main characteristics of both of the machine learning approaches are analyzed while varying environmental parameters such as the number of sensing points and their location. From the achieved results some clues can be extracted regarding dealing with noisy or partial data using different machine learning approaches

Towards a Mathematical Theory of Cortical Micro-circuits

The theoretical setting of hierarchical Bayesian inference is gaining acceptance as a framework for understanding cortical computation. In this paper, we describe how Bayesian belief propagation in a spatio-temporal hierarchical model, called Hierarchical Temporal Memory (HTM), can lead to a mathematical model for cortical circuits. An HTM node is abstracted using a coincidence detector and a mixture of Markov chains. Bayesian belief propagation equations for such an HTM node define a set of functional constraints for a neuronal implementation. Anatomical data provide a contrasting set of organizational constraints. The combination of these two constraints suggests a theoretically derived interpretation for many anatomical and physiological features and predicts several others. We describe the pattern recognition capabilities of HTM networks and demonstrate the application of the derived circuits for modeling the subjective contour effect. We also discuss how the theory and the circuit can be extended to explain cortical features that are not explained by the current model and describe testable predictions that can be derived from the model

Top performing schools\u27 differentiae: an in-depth analysis of Philippine academic institutions participating in the accountancy board examinations for the years 2010-2014

The past years CPA board examination results reveal that only eight out of 592 participating schools were able to meet the top performing school criterion set by the Philippine Regulatory Commission (PRC), which is at least an 80% passing rate among a minimum of fifty examinees. As such, this study aims to determine which characteristics set apart those top performing schools from the rest of the participating schools. It provides an in-depth analysis of the former\u27s distinguishing factors and how strongly those factors impact a school\u27s performance in the examination. In order to accomplish this, a survey regarding school, program, and faculty factors was administered among universities and colleges in the country which participated consistently in the ten board exams that took place from 2010 to 2014. The data obtained was analyzed primarily using Hotellings T-square test and multiple regression. Upon comparison of the results, it was noted that not all factors which were found to be distinct to top-performing schools have an impact on the school\u27s CPA board performance. Hotellings T-square test identified number of students enrolled in the accountancy program, number of faculty certification, number of program accreditation, and student population to be the distinguishing factors. Multiple regression, however, revealed that student population, number of faculty certification, and average class size are the factors that have an impact on passing rate. It should be noted that the main factors initially identified in this study are limited only to those provided by the past literature and studies examined by the researchers, and that, in analyzing the results, the criterion which the researchers used to determine the top performing schools in the population did not follow the definition set by PRC

Perturbations radio-electriques dans le reseau local : mesures de champs et de tensions induites; essais de systemes de transmission (160, 528, 704, 2048 Kbit/s) au voisinage de l'emetteur de Thourie (711 kHz)

CNRS RP 252 (308) / INIST-CNRS - Institut de l'Information Scientifique et TechniqueSIGLEFRFranc

Adherence to home-based videogame treatment for amblyopia in children and adults

202205 bcfcAccepted ManuscriptRGCOthersHealth Research Council of New ZealandPublishe