Autonomous driving is a multi-agent setting where the host vehicle must apply sophisticated negotiation skills with other road users when overtaking, giving way, merging, taking left and right turns and while pushing ahead in unstructured urban roadways. Since there are many possible scenarios, manually tackling all possible cases will likely yield a too simplistic policy. Moreover, one must ba...

We compare statistical and economic measures of forecasting performance across a large set of stock return prediction models with time-varying mean and volatility. We find that it is very common for models to produce higher out-of-sample mean squared forecast errors than a model assuming a constant equity premium, yet simultaneously add economic value when their forecasts are used to guide port...

the work exposure conditions such as dust concentration, exposure time, use of respiratory protection devices and smoking status are effective to cause pulmonary function disorder. the objective of this study was prediction of pulmonary disorders in workers exposed to silica dust using artificial neural networks and logistic regression. a sample of 117 out of 150 workers employed in the stone c...

Bi-layer metallic tube (BMT) plays an extremely crucial role in engineering applications, with rotary draw bending (RDB) the high-precision processing can be achieved, however, product will further springback. Due to complex structure of BMT and high cost dataset acquisition, existing methods based on mechanism research machine learning cannot meet requirements springback prediction. Based prel...

EVA (http://cubic.bioc.columbia.edu/eva/) is a web server for evaluation of the accuracy of automated protein structure prediction methods. The evaluation is updated automatically each week, to cope with the large number of existing prediction servers and the constant changes in the prediction methods. EVA currently assesses servers for secondary structure prediction, contact prediction, compar...

XIE, Y. G., H. Y. ZHANG, H. Y. WANG, L. F. WANG and ZH. M. YUAN, 2013. Prediction of multidimensional time series based on GS-RSR-SVR and its application in agricultural economy. Bulg. J. Agric. Sci., 19: 1327-1336 This paper proposes a method that creatively applies a Geo-statistics tool (GS) to complete fast and adequate order determination and introduces a novel algorithm, named Reasonable S...

abstract: the aim of the present research was to determine the role of temperament and character in prediction of symptoms obsessive disorder in adolescents. the research sample consisted of 60 who were selected from among students with symptoms of obsessive through the randomly sampled method in high schools of ardabil city. to collect the data, temperament and character inventory and obsessiv...

Given a sample from a finite population, we provide a nonparametric Bayesian prediction interval for a finite population mean when a standard normal assumption may be tenuous. We will do so using a Dirichlet process (DP), a nonparametric Bayesian procedure which is currently receiving much attention. An asymptotic Bayesian prediction interval is well known but it does not incorporate all the fe...