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Superbrands : an insight into Slovenia's strongest brands
strokovna monografija

Ključne besede: Slovenia
Objavljeno: 05.06.2012; Ogledov: 634; Prenosov: 11
URL Polno besedilo (0,00 KB)

Encyclopedia of the sciences of learning
slovar, enciklopedija, leksikon, priročnik, atlas, zemljevid

Objavljeno: 05.06.2012; Ogledov: 580; Prenosov: 6
URL Polno besedilo (0,00 KB)

A safer future : global public health security in the 21st century

Opis: The World Health Report 2007 - A Safer Future : Global Public Health Security in the 21st Century marks a turning point in the history of public health, and signals what could be one of the biggest advances in health security in half a century. It shows how the world is at increasing risk of disease outbreaks, epidemics, industrial accidents, natural disasters, and other health emergencies which can rapidly become threats to global public health security. The report explains how the revised International Health Regulations (2005), which came into force this year, helps countries to work together to identify risks and act to contain and control them. The regulations are needed because no single country, regardless of capability or wealth, can protect itself from outbreaks and other hazards without the cooperation of others. The report says the prospect of a safer future is within reach -- and that this is both a collective aspiration and a mutual responsibility.
Objavljeno: 05.06.2012; Ogledov: 468; Prenosov: 2
URL Polno besedilo (0,00 KB)

SVONAR : a new quantitative method for studying learner satisfaction
Peter Kokol, Slavko Cvetek, Marko Kokol, Petra Kokol, Matej Urbas, 2012, izvirni znanstveni članek

Opis: We investigated studentsʼ feelings and well-being during the lesson. We were working on a problem of how to adjust teaching in the secondary school and achieve that students will feel as good as possible and better follow the instruction. A hypothesis was set that, by measuring the desired length of lesson and factors which influence lesson length, we can measure and influencestudent satisfaction. Based on this hypothesis we investigated the factors which have influence on lesson length in a particular subject. Data were collected by means of a questionnaire. The subjects were students of II. gimnazija (secondary grammar school). The responses were analysed to obtain correlations between the factors (average grade in a subject, boredness and likableness of the teacher, length and level of boreness of lesson content, fear of the teacher) and lesson length. Results suggest that, by modifying these factors we could change studentsʼ opinions, that is, increase their willingness to attend classes. The set hypothesis was confirmed and it was shown that by using simple diagrammatic models built on the basis of linear regression we can identify and study the influence of these factors on lesson length.
Ključne besede: teaching, secondary school, quantitative methods, student satisfaction
Objavljeno: 05.06.2012; Ogledov: 776; Prenosov: 7
.pdf Polno besedilo (1,11 MB)

Low back pain
2012, znanstvena monografija

Objavljeno: 05.06.2012; Ogledov: 510; Prenosov: 3
URL Polno besedilo (0,00 KB)

Comprehensive decision tree models in bioinformatics
Gregor Štiglic, Simon Kocbek, Igor Pernek, Peter Kokol, 2012, izvirni znanstveni članek

Opis: Purpose Classification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of reasoning behind the classification model are possible. Methods This paper presents an extension to an existing machine learning environment and a study on visual tuning of decision tree classifiers. The motivation for this research comes from the need to build effective and easily interpretable decision tree models by so called one-button data mining approach where no parameter tuning is needed. To avoid bias in classification, no classification performance measure is used during the tuning of the model that is constrained exclusively by the dimensions of the produced decision tree. Results The proposed visual tuning of decision trees was evaluated on 40 datasets containing classical machine learning problems and 31 datasets from the field of bioinformatics. Although we did notexpected significant differences in classification performance, the resultsdemonstrate a significant increase of accuracy in less complex visuallytuned decision trees. In contrast to classical machine learning benchmarking datasets, we observe higher accuracy gains in bioinformatics datasets. Additionally, a user study was carried out to confirm the assumptionthat the tree tuning times are significantly lower for the proposed method in comparison to manual tuning of the decision tree. Conclusions The empirical results demonstrate that by building simple models constrained by predefined visual boundaries, one not only achieves good comprehensibility, but also very good classification performance that does not differ from usually more complex models built using default settings of the classical decision tree algorithm. In addition, our study demonstrates the suitability of visually tuned decision trees for datasets with binary class attributes anda high number of possibly redundant attributes that are very common in bioinformatics.
Ključne besede: decision tree models, machine learning technique, visual tuning, bioinformatics
Objavljeno: 05.06.2012; Ogledov: 689; Prenosov: 5
.pdf Polno besedilo (524,39 KB)

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