نتایج جستجو برای: training local experts

تعداد نتایج: 892509  

2016
Hyo Taek Lee Hyo Lyun Roh Yoon Sang Kim

[Purpose] Currently, various simulators are produced and used for athlete's exercise, rehabilitation, and training. In this study, we analyzed the kinematic factors of sectional and total movements in healthy participants by providing group-dependent information during simulated exercise. [Subjects and Methods] Participants in this study included 26 male adults (non-experts and experts); expert...

2002
Guido Bologna

Rules are extracted from the DIMLP neural network in polynomial time with respect to the size of the classification problem and the size of the network. With rules is possible to ask how well do inferences made compare with knowledge and heuristics of experts. Although fidelity of generated rules from the training set is 100%, perfect fidelity on new unknown data samples is not guaranteed. In t...

2017
Moo-Sik Lee Eun-Young Kim Sang-Won Lee

OBJECTIVES The field epidemiologist system of South Korea, which employs public health doctors who are relatively more readily available, was created in 1999 to ensure a ready supply of experts for epidemiological investigations and enable an effective response for new and reemerging infectious diseases. However, the 2015 outbreak of Middle East Respiratory Syndrome revealed limitations in the ...

2004
Nayer Wanas Rozita Dara Mohamed S. Kamel

As the possibilities of combining experts become a more important direction in intelligent systems, difficulties arise in ways of generating these various experts and how to effectively use them concurrently. This is very evident in designing multiple classifier systems. The degree and method by which multiple classifier systems share training resources among their components can be a measure o...

Introduction: Community needs are constantly changing and identifying training needs required for a successful education system is often the first step in planning training courses which indeed ensures effectiveness of training programs. In Iran's health system , Behvarzan are at the forefront of health care provision therefore, a need for setting priorities for planning and implementing nec...

2010
Samantha Low Choy

Experts are increasingly being called upon to quantify their knowledge, particularly in situations where data is not yet available or of limited relevance. In many cases this involves asking experts to estimate probabilities. For example experts, in ecology or related fields, might be called upon to estimate probabilities of incidence or abundance of species, and how they relate to environmenta...

Journal: :The Laryngoscope 2012
Martin Curry Anand Malpani Ryan Li Thomas Tantillo Amod Jog Ray Blanco Patrick K Ha Joseph Califano Rajesh Kumar Jeremy Richmon

OBJECTIVES/HYPOTHESIS To develop a robotic surgery training regimen integrating objective skill assessment for otolaryngology and head and neck surgery trainees consisting of training modules of increasing complexity leading up to procedure-specific training. In particular, we investigated applications of such a training approach for surgical extirpation of oropharyngeal tumors via a transoral ...

2008
Igor Levin Terrell Vanderah

The functional responses (e.g., dielectric, magnetic, catalytic, etc.) of many industrially-relevant materials are controlled by their local structure-a term that refers to the atomic arrangements on a scale ranging from atomic (sub-nanometer) to several nanometers. Thus, accurate knowledge of local structure is central to understanding the properties of nanostructured materials, thereby placin...

2005
Colin Fyfe

In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm of the probability density function of the data under the model. We show that the mapping, though retaining its product of experts form, becomes more like a mixture of experts during training.

Journal: :CoRR 2013
David Eigen Marc'Aurelio Ranzato Ilya Sutskever

Mixtures of Experts combine the outputs of several “expert” networks, each of which specializes in a different part of the input space. This is achieved by training a “gating” network that maps each input to a distribution over the experts. Such models show promise for building larger networks that are still cheap to compute at test time, and more parallelizable at training time. In this this w...

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