نتایج جستجو برای: descriptive approach

تعداد نتایج: 1393445  

2015
Marc Fleurbaey Hannes Schwandt

Do People Seek to Maximize Their Subjective Well‐Being?* In a new survey we ask respondents, after a standard Subjective Well‐Being (SWB) question, if they can think of changes in their lives that would improve their SWB score. If the SWB score is just one argument among others in the respondents’ goals in life, they should easily find ways to improve it, at the expense of other dimensions they...

2001
Changjie Tang Rynson W. H. Lau Qing Li Tong Li Zhonghua Yu

In order to train distance learning students the discernment abilio, teachers often suggest to them web courseware on some specific topics, such as a controversial social issues, with different view points. Traditional discriminating strategies based on simple keyword matching often lead to low accuracy of discrimination. This paper proposes a method called DRSA (Discriminating via Representati...

2006
Martin Loetzsch Remi van Trijp Luc Steels

This paper is part of an ongoing research program to understand the cognitive and functional bases for the origins and evolution of spatial language. Following a cognitive-functional approach, we first investigate the cross-linguistic variety in spatial language, with special attention for spatial perspective. Based on this language-typological data, we hypothesize which cognitive mechanisms ar...

Journal: :Frontiers in psychology 2016
Marta Maćkiewicz Jan Cieciuch

In order to adjust personality measurements to children's developmental level, we constructed the Pictorial Personality Traits Questionnaire for Children (PPTQ-C). To validate the measure, we conducted a study with a total group of 1028 children aged between 7 and 13 years old. Structural validity was established through Exploratory Structural Equation Model (ESEM). Criterion validity was confi...

2009
MUSTAPHA RAÏSSOULI

In this paper, we present various functional means in the sense of convex analysis. In particular, a logarithmic mean involving convex functionals, extending the scalar one, is introduced. In the quadratic case, our functional approach implies immediately that of positive operators. Some examples, illustrating theoretical results and showing the interest of our functional approach, are discussed.

2009
Denis Hatebur Maritta Heisel

We show how software architectures (including interface descriptions) can be derived from artifacts set up in the analysis phase of the software lifecycle. The analysis phase consists of six steps, where various models are constructed. Especially, the software development problem is decomposed into simple subproblems. The models set up in the analysis phase form the basis for (i) defining softw...

2015
Charles Roberts Matthew Wright JoAnn Kuchera-Morin

We document music programming in Gibber, a creative coding environment for the browser. We describe affordances for a sample-accurate and functional approach to scheduling, pattern creation and manipulation, audio synthesis, using rhythm and harmony, and score definition and playback.

Journal: :Techn. Analysis & Strat. Manag. 2018
Sikke R. Jansma Jordy F. Gosselt Menno D. T. de Jong

The functional approach of the Technological Innovation System (TIS) has become important in innovation theory to understand the dynamics of technological innovations. Until now, TIS has mainly been applied topdown from a policy perspective. The aim of this study was to investigate whether TIS can be used in the management domain, from an actororiented perspective, to explain the dynamics in wh...

2000
Ulrike Becker-Kornstaedt

Descriptive software process modeling is a key activity in process engineering. However, a systematic approach on how to collect the information needed to develop such a model is needed. This position paper points out the major problems when doing descriptive software process modeling in industrial contexts and suggests to use qualitative research methods to develop a method for systematic soft...

2007
Alexander Vezhnevets Vladimir Vezhnevets

We propose a framework for Bayesian unsupervised image segmentation with descriptive, learnable models. Our approach is based on learning descriptive models for segmentation and applying Monte Carlo Markov chain to traverse the solution space. Swendsen-Wang cuts are adapted to make meaningful jumps in solution space.

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