partition specialists We craft a prior on all partition specialists for which Bayes is both • fast: collapses to O(M) time per trial, O(M) space • good: regret close to information-theoretic lower bound Bayes for specialists crash course A specialist may or may not issue a prediction [FSSW97]. Prediction P(y|m) only available for awake m ∈W. Key insight: complete specialists to full models [CV0...

This paper focuses on the use of magneto resistive and sonar sensors for imminent collision detection in cars. The magneto resistive sensors are used to measure the magnetic field from another vehicle in close proximity, to estimate relative position, velocity, and orientation of the vehicle from the measurements. Here the sonar sensor is mainly used to measure the distance only for medium inte...

Risk prediction is an important task to ensuring the driving safety of railway trams. Although data-driven intelligent methods are proved be effective for risk prediction, accuracy still a top concern challenges data quality which mainly represent as unbalanced datasets. This study focuses on applying feature extraction and augmentation achieve trams, proposes approach based self-adaptive K-mea...

in the present paper, employing a complete model of a passenger car, contribution of various components and assemblies in the frontal crash energy absorption is determined. thickness of components with more remarkable contribution is increased to improve the occupant safety. furthermore, effects of substituting the metallic bumper with one fabricated from gmt materials on the frontal crash beha...

Traditionally, transportation safety analysts have used the empirical Bayes (EB) method to improve the estimate of the long-term mean of individual sites; to correct for the regression-to-the-mean (RTM) bias in before-after studies; and to identify hotspots or high risk locations. The EB method combines two different sources of information: (1) the expected number of crashes estimated via crash...