نتایج جستجو برای: training local experts
تعداد نتایج: 892509 فیلتر نتایج به سال:
In mixtures-of-experts (ME) models, "experts" of generalized linear models are combined, according to a set of local weights called the "gating function". The invariant transformations of the ME probability density functions include the permutations of the expert labels and the translations of the parameters in the gating functions. Under certain conditions, we show that the ME systems are iden...
Automatic route choice in telecommunication networks using external management systems, also known as transport networks, is an unsatisfactorily solved problem. The task can be reduced to weighting and choosing routes in a directed graph starting with weighting edges and vertices using sets of very different parameters, parameters depending on technical and economic conditions. An essential pro...
introduction: the script concordance test (sct) is one the best tools used to evaluate clinical reasoning in ill-defined clinical situations. the aim of this study was to demonstrate sct application in otolaryngology residency training. methods: a 20 item otolaryngology sct containing 60 questions was administered to 26 otolaryngology residents. the test was prepared by two otolaryngologists fa...
Abstract Many parameter-tuning algorithms have been proposed for training Fuzzy Wavelet Neural Networks (FWNNs). Absence of appropriate structure, convergence to local optima and low speed in learning algorithms are deficiencies of FWNNs in previous studies. In this paper, a Memetic Algorithm (MA) is introduced to train FWNN for addressing aforementioned learning lacks. Differential Evolution...
INTRODUCTION Unacceptable practices in the delivery of international medical assistance are reported after every major international disaster; this raises concerns about the clinical competence and practice of some foreign medical teams (FMTs). The aim of this study is to explore and analyze the opinions of disaster management experts about potential deficiencies in the art and science of natio...
BACKGROUND Through simulations health care workers can learn by practicing skills taught and experiencing mistakes before interacting with an actual patient. A number of areas within the health care industry are currently using simulation-based training to help individuals and teams improve patient safety. WHAT IS SIMULATION-BASED TRAINING? The key components of simulation-based training are as...
In order to improve forecasts, a decisionmaker often combines probabilities given by various sources, such as human experts and machine learning classifiers. When few training data are available, aggregation can be improved by incorporating prior knowledge about the event being forecasted and about salient properties of the experts. To this end, we develop a generative Bayesian aggregation mode...
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