This papers presents results on the application of restricted Boltzmann machines (RBM) and deep belief networks (DBN) on the Likability Sub-Challenge of the Interspeech 2012 Speaker Trait Challenge [1]. RBMs are a particular form of log-linear Markov Random Fields and generative models which try to model the probability distribution of the underlying input data which can be trained in an unsupe...

We show, by molecular dynamics simulations, that 2 : 1 internal resonance may occur between a radial breathing mode (RBM) and a circumferential flexural mode (CFM) in single-walled carbon nanotubes (SWCNTs). When the RBM vibration amplitude is greater than a critical value, automatic transformations between the RBM and CFM with approximately half RBM-frequency are observed. This discovery in th...

Restricted Boltzmann Machine (RBM) is a two layer undirected graph model that capable to represent complex distributions. Recent research has shown RBM-based approach has comparable performance with, even performs better than previous models on many collaborative filtering (CF) tasks. However, the intractable inference makes the training of RBM sophisticated, which prevents it from practical ap...

In classification tasks, restricted Boltzmann machines (RBMs) have predominantly been used in the first stage, either as feature extractors or to provide initialization of neural networks. In this study, we propose a discriminative learning approach to provide a self-contained RBM method for classification, inspired by free-energy based function approximation (FE-RBM), originally proposed for r...

BACKGROUND Little is known about airway remodelling in bronchial biopsies (BB) in smokers and chronic obstructive pulmonary disease (COPD). We conducted an initial pilot study comparing BB from COPD patients with nonsmoking controls. This pilot study suggested the presence of reticular basement membrane (Rbm) fragmentation and altered vessel distribution in COPD. METHODS To determine whether ...

conclusions: our results confirmed unequal distribution of bmi and height of 6-year-old children in iran generally and in most of its provinces particularly. the differences among provinces cannot be fully explained by the socioeconomic pattern. these findings necessitate a comprehensive national policy with provincial evidence-based programs. results: the study population consisted of 955388 c...

background defining the optimal prostate-specific antigen threshold to identify the patients at the highest risk of prostate cancer has always been a controversial issue. objectives this study aims to analyze the diagnostic value of psa and also evaluate the relationship between psa (prostate-specific antigen) and bmi (body mass index) as well as psa and prostate size and volume in asymptomatic...

introduction turner syndrome is the most common chromosomal abnormality in females. girls with turner syndrome have an abmormal or missing x choromosme that causes short stature, ovarian failure, renovascular and cardiac anomalies. it has been shown that there is a tendency to obesity in the turner syndrome. this prospective study has been done to evaluate whether body mass index (bmi) is diffe...

conclusions the mean heart rate was higher in participants who were overweight than those with normal weight. results the mean and standard deviation of the heart rate in the hot climatic condition and moderate exercise were 103.84 (3.34) for normal weight subjects and 108.67 (3.27) for overweight subjects. the mean and standard deviation of the heart rate in a very hot climatic condition and l...

Emotional speech recognition is a multidisciplinary research area that has received increasing attention over the last few years. The present paper considers the application of restricted Boltzmann machines (RBM) and deep belief networks (DBN) to the difficult task of automatic Spanish emotional speech recognition. The principal motivation lies in the success reported in a growing body of work ...