This paper proposes a novel model-agnostic method for weighting the outputs of base classifiers in machine learning (ML) ensembles.Our approach uses class-based weight coefficients assigned to every output class in each learner in the ensemble.This is particularly useful when the base classifiers have highly variable performance across classes.Our
Background: The kind of attitude expressed by Knitwear the nurses may have significant effect on the recovery process of the patient and on their decision to avail treatment.It is anticipated that by exploring the attitudes of the nurses towards AUD patients and understanding the factors which influences these attitudes, more effective intervention
Visual odometry estimates the ego-motion of a vehicle using only the input of a single or multiple cameras mounted on the vehicle.This paper focuses on the research of the stereo visual odometry system of intelligent vehicles, and discusses how to improve the robustness, accuracy and efficiency.A new robust estimation algorithm, Locally Optimized P
Emotion Induced Blindness (EIB) refers to the impairment in the identification of a neutral target image that follows a threatening or fearful distractor image.It has been suggested that valence plays a significant role in driving the perceptual impairment in EIB.Recent findings from the literature suggest that arousal has a very Lunch Bag importan
The imposition of the insanity defense is a Rug complicated psycho-legal scenario.Globally, definitions of insanity differ from country to country.In a multitude of cases, a determination of insanity at the time of a criminal act means the offender will not be considered responsible for his or her action(s).In many jurisdictions, concerns have been