نتایج جستجو برای: base society training

تعداد نتایج: 756779  

2006
Michael Horton R. Mike Cameron-Jones Raymond Williams

Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour base classifiers, attribute subsetting was modified to learn only one classifier, then to selectively ignore attributes at classification time to generate multiple predictions. In this paper, the approach is generali...

Journal: :Vascular medicine 2007
Christopher M Kramer Matthew J Budoff Zahi A Fayad Victor A Ferrari Corey Goldman John R Lesser Edward T Martin Sanjay Rajagopalan John P Reilly George P Rodgers Lawrence Wechsler

A Report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training Developed in Collaboration With the Society of Atherosclerosis Imaging and Prevention, the Society for Cardiovascular Angiography and Interventions, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Mag...

Journal: :Circulation 2007
Christopher M Kramer Matthew J Budoff Zahi A Fayad Victor A Ferrari Corey Goldman John R Lesser Edward T Martin Sanjay Rajogopalan John P Reilly George P Rodgers Lawrence Wechsler Mark A Creager David R Holmes Geno Merli L Kristin Newby Ileana Piña Howard H Weitz

A Report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training Developed in Collaboration With the Society of Atherosclerosis Imaging and Prevention, the Society for Cardiovascular Angiography and Interventions, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Mag...

2017

Conventional deep learning classifiers are static in the sense that they are trained on a predefined set of classes and learning to classify a novel class typically requires re-training. In this work, we address the problem of Low-Shot network-expansion learning. We introduce a learning framework which enables expanding a pre-trained (base) deep network to classify novel classes when the number...

ژورنال: فناوری آموزش 2015
سعید هداوند, سعید یاورزاده, علیرضا جوانبخش

In this research, descriptive and surveying method is used to evaluate the quality of engineering training programs. The statistical society of the research consists of 130 engineers of AzarAb Company covered by training programs in 2012. Since the statistical society has a low volume, the whole society is considered as a statistical sample. Data was collected using Servqual standard questionna...

2017
Amy Tanner

Given the limited research into the physiological and psychological demands of elite synchronised swimming, the aim of this study was to examine 10 elite female synchronised swimmers and analyse the relationship between training load, stress, illness episodes, and salivary biomarkers during a period of training and competition. Saliva samples were collected before (BASE), during an intensified ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان همدان - دانشکده ادبیات و علوم انسانی 1390

چکیده بیان موضوع: الگو گرایی یکی از مهمترین روشهای تربیتی اسلام می باشد که از دیدگاه قرآن، علم و دین نیز دلایل متقنی برای این رویکرد وجود دارد. از طرفی درعصر فعلی که معروف به عصر پست مدرن می باشد با نفی فراروایت ها،و مخالفت با عقلگرایی، دین(بعنوان یک فراروایت) به نوعی کنار گذاشته می شود و در نظام تربیتی غرب، نسبیت گرایی و کثرتگرایی حرف اول را می زند.عنوان این پژوهش"بررسی و تبیین جایگاه رویکرد ...

Journal: :Information Fusion 2005
Prem Melville Raymond J. Mooney

The diversity of an ensemble of classifiers is known to be an important factor in determining its generalization error. We present a new method for generating ensembles, Decorate (Diverse Ensemble Creation by Oppositional Relabeling of Artificial Training Examples), that directly constructs diverse hypotheses using additional artificially-constructed training examples. The technique is a simple...

2003
J. J. Shann

This paper presents a layer-structured fuzzy neural network (FNN) for learning rules of fuzzy-logic control systems. Initially, FNN is constructed to contain all the possible fuzzy rules. We propose a two-phase learning procedure for this network. The first phase is a error-backprop (EBP) training, and the second phase is a rule pruning. Since some functions of the nodes in the FNN have the com...

Journal: :Epilepsy & Behavior 2017
Darlene A. Snape Myfanwy Morgan Leone Ridsdale Steve Goodacre Anthony G. Marson Adam J. Noble

Epilepsy affects around 1% of the UK population; 40% of whom experience two or more seizures annually. However, most Emergency Department (ED) visits by people with epilepsy (PWE) are clinically unnecessary. Evidence highlights that with correct training, seizures can be safely managed by patients and their families within the community. Arguably therefore, PWE who frequently visit the ED might...

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