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Selection: with tag weighting [14 articles] 

 

(INRMM-MiD internal record) List of keywords of the INRMM meta-information database - part 43

  
(February 2018)
Keywords: inrmm-list-of-tags   viburnum-spp   vicia-faba   vietnam   vinca-spp   vineyards   violin   viral-disease   virgin-forest   virola-koschnyi   virus   viscum-album   visual-assessment   visual-interpretation   visual-notation   visualization   vitality   vitex-keniensis   vitis-spp   vochysia-divergens   vochysia-ferruginea   vochysia-guatemalensis   volatiles   volcanic-eruptions   volunteered-geographic-information   vulnerability   vulpes-vulpes   walnut   walnut-leaf   warming   washingtonia-filifera   washingtonia-robusta   water   water-balance   water-erosion   water-impoundment   water-pollution   water-potential   water-quality   water-reservoir-management   water-reservoir-network   water-resources   water-resources-management   water-scarcity   water-security   water-storage   water-stress   water-use-efficiency   waterlogging   waves-energy   weather-modification   web-and-information-technologies   web-coverage-services   web-map-services   web-processing-services   web-services   weibull-distribution   weighting   wepp   west-africa   west-antartica   western-alps   western-asia   western-europe   western-mediterranean   westringia-fruticosa   wetland-investigations   wetlands   wheat   wicked-problem   wide-scale   wide-scale-transdisciplinary-modelling-for-environment   wide-vs-large-scale   widespread-plant-species   wiesa   wiki-communication   wild-service-tree   wilderness   wildfires   wildland-urban-interface   wilt   wind   wind-damage   wind-energy   wind-machines   wind-model   windows   windstorm   windthrow   wine-barrel   winter-robustness   wisteria-sinensis   wollemia-nobilis   women   wood-instrument   wood-market   wood-pellet   wood-production   wood-properties   wood-shreds  

Abstract

List of indexed keywords within the transdisciplinary set of domains which relate to the Integrated Natural Resources Modelling and Management (INRMM). In particular, the list of keywords maps the semantic tags in the INRMM Meta-information Database (INRMM-MiD). [\n] The INRMM-MiD records providing this list are accessible by the special tag: inrmm-list-of-tags ( http://mfkp.org/INRMM/tag/inrmm-list-of-tags ). ...

 

Comparing and selecting spatial predictors using local criteria

  
Vol. 2013 (2013), 21-13

Abstract

Remote sensing technology for the study of Earth and its environment has led to “Big Data” that, paradoxically, have global extent but may be spatially sparse. Furthermore, the variability in the measurement error and the latent process error may not fit conveniently into the Gaussian linear paradigm. In this paper, we consider the problem of selecting a predictor from a finite collection of spatial predictors of a spatial random process defined on D, a subset of d-dimensional Euclidean space. Critically, we ...

 

Local spatial-predictor selection

  
Vol. 2013 (2013), 09-13

Abstract

Consider the problem of spatial prediction of a random process from a spatial dataset. Global spatial-predictor selection provides a way to choose a single spatial predictor from a number of competing predictors. Instead, we consider local spatial-predictor selection at each spatial location in the domain of interest. This results in a hybrid predictor that could be considered global, since it takes the form of a combination of local predictors; we call this the locally selected spatial predictor. We pursue this idea ...

 

Improving generalized regression analysis for the spatial prediction of forest communities

  
Journal of Biogeography, Vol. 33, No. 10. (October 2006), pp. 1729-1749, https://doi.org/10.1111/j.1365-2699.2006.01465.x

Abstract

Abstract Aim  This study used data from temperate forest communities to assess: (1) five different stepwise selection methods with generalized additive models, (2) the effect of weighting absences to ensure a prevalence of 0.5, (3) the effect of limiting absences beyond the environmental envelope defined by presences, (4) four different methods for incorporating spatial autocorrelation, and (5) the effect of integrating an interaction factor defined by a regression tree on the residuals of an initial environmental model. Location  State of Vaud, ...

 

An evaluation of void-filling interpolation methods for SRTM data

  
International Journal of Geographical Information Science, Vol. 21, No. 9. (1 October 2007), pp. 983-1008, https://doi.org/10.1080/13658810601169899

Abstract

The Digital Elevation Model that has been derived from the February 2000 Shuttle Radar Topography Mission (SRTM) has been one of the most important publicly available new spatial data sets in recent years. However, the ‘finished’ grade version of the data (also referred to as Version 2) still contains data voids (some 836,000 km2)—and other anomalies—that prevent immediate use in many applications. These voids can be filled using a range of interpolation algorithms in conjunction with other sources of elevation data, ...

 

Weighted median filters: a tutorial

  
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing In Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, Vol. 43, No. 3. (March 1996), pp. 157-192, https://doi.org/10.1109/82.486465

Abstract

Weighted Median (WM) filters have the robustness and edge preserving capability of the classical median filter and resemble linear FIR filters in certain properties. Furthermore, WM filters belong to the broad class of nonlinear filters called stack filters. This enables the use of the tools developed for the latter class in characterizing and analyzing the behavior and properties of WM filters, e.g. noise attenuation capability. The fact that WM filters are threshold functions allows the use of neural network training methods ...

 

Multi-dimensional weighted median: the module "wmedian" of the Mastrave modelling library

  
In Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modelling (2012)

Abstract

Weighted median (WM) filtering is a well known technique for dealing with noisy images and a variety of WM-based algorithms have been proposed as effective ways for reducing uncertainties or reconstructing degraded signals by means of available information with heterogeneous reliability. Here a generalized module for applying weighted median filtering to multi-dimensional arrays of information with associated multi-dimensional arrays of corresponding weights is presented. Weights may be associated to single elements or to groups of elements along given dimensions of the ...

 

The tragedy of the commons

  
Science, Vol. 162, No. 3859. (13 December 1968), pp. 1243-1248, https://doi.org/10.1126/science.162.3859.1243

Abstract

The population problem has no technical solution; it requires a fundamental extension in morality. [Excerpt] [...] A technical solution may be defined as one that requires a change only in the techniques of the natural sciences, demanding little or nothing in the way of change in human values or ideas of morality. In our day (though not in earlier times) technical solutions are always welcome. Because of previous failures in prophecy, it takes courage to assert that a desired technical solution is ...

 

Review of the main developments in the analytic hierarchy process

  
Expert Systems with Applications (May 2011), https://doi.org/10.1016/j.eswa.2011.04.143

Abstract

[Abstract] In this paper the authors review the developments of the analytic hierarchy process (AHP) since its inception. The focus of this paper is a neutral review on the methodological developments rather than reporting its applications that have appeared since its introduction. In particular, we discuss problem modelling, pair-wise comparisons, judgement scales, derivation methods, consistency indices, incomplete matrix, synthesis of the weights, sensitivity analysis and group decisions. All have been important areas of research in AHP. [Highlights] [::] Methodological developments of the analytic hierarchy ...

 

Towards a web-based collaborative weighting method in project

  
In IEEE International Conference on Systems, Man and Cybernetics (2002), 6, https://doi.org/10.1109/icsmc.2002.1173335

Abstract

For the purpose of a product design or a project in general, weighting a set of comparable criteria has been proven to be of utmost importance (e.g. weighting product functions in value analysis - VA -, and allocating a budget in a Design-To-Cost project). Moreover the weighting problem is related to basic properties in the field of Multi-Criteria Decision Analysis (MCDA) through the notions of ordinal transitivity and rationality in the designers' mind. How should designers or project agents decide in ...

 

Equality bias impairs collective decision-making across cultures

  
Proceedings of the National Academy of Sciences, Vol. 112, No. 12. (24 March 2015), pp. 3835-3840, https://doi.org/10.1073/pnas.1421692112

Abstract

[Significance] When making decisions together, we tend to give everyone an equal chance to voice their opinion. To make the best decisions, however, each opinion must be scaled according to its reliability. Using behavioral experiments and computational modelling, we tested (in Denmark, Iran, and China) the extent to which people follow this latter, normative strategy. We found that people show a strong equality bias: they weight each other’s opinion equally regardless of differences in their reliability, even when this strategy was at ...

 

New untrained aggregation methods for classifier combination

  
In Neural Networks (IJCNN), 2014 International Joint Conference on (July 2014), pp. 617-622, https://doi.org/10.1109/ijcnn.2014.6889810

Abstract

The combined classification is a promising direction in pattern recognition and there are numerous methods that deal with forming classifier ensembles. The most popular approaches employ voting, where the final decision of compound classifier is a combination of individual classifiers' outputs, i.e., class labels or support functions. This paper concentrates on the problem how to design an effective combination rule, which takes into consideration the values of support functions returned by the individual classifiers. Because in many practical tasks we do ...

 

Pruning of memories by context-based prediction error

  
Proceedings of the National Academy of Sciences, Vol. 111, No. 24. (17 June 2014), pp. 8997-9002, https://doi.org/10.1073/pnas.1319438111

Abstract

[Significance] Forgetting is often considered to be bad, but selective forgetting of unreliable information can have the positive side effect of reducing mental clutter, thereby making it easier to access our most important memories. Prior studies of forgetting have focused on passive mechanisms (decay, interference) or on effortful inhibition by cognitive control. Here we report the discovery of an active mechanism for forgetting that weakens memories selectively and without burdening the conscious mind. Specifically, we show that the brain automatically generates ...

 

A multi-criteria approach for an integrated land-cover-based assessment of ecosystem services provision to support landscape planning

  
Ecological Indicators, Vol. 21 (October 2012), pp. 54-66, https://doi.org/10.1016/j.ecolind.2011.12.010

Abstract

The article presents a multicriteria assessment framework for the qualitative estimation of regional potentials to provide ecosystem services as a prerequisite to support regional development planning. We applied this approach to a model region in Saxony, Eastern Germany. For the estimation of the potentials of the model region to provide ecosystem services, we used a modified approach compared to the Millenium Ecosystem Assessment (2005). We then employed a benefit transfer and a purely expert driven approach to assess contribution of the ...

This page of the database may be cited as:
Integrated Natural Resources Modelling and Management - Meta-information Database. http://mfkp.org/INRMM/tag/weighting

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Meta-information Database (INRMM-MiD).
This database integrates a dedicated meta-information database in CiteULike (the CiteULike INRMM Group) with the meta-information available in Google Scholar, CrossRef and DataCite. The Altmetric database with Article-Level Metrics is also harvested. Part of the provided semantic content (machine-readable) is made even human-readable thanks to the DCMI Dublin Core viewer. Digital preservation of the meta-information indexed within the INRMM-MiD publication records is implemented thanks to the Internet Archive.
The library of INRMM related pubblications may be quickly accessed with the following links.
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Full-text and abstracts of the publications indexed by the INRMM meta-information database are copyrighted by the respective publishers/authors. They are subject to all applicable copyright protection. The conditions of use of each indexed publication is defined by its copyright owner. Please, be aware that the indexed meta-information entirely relies on voluntary work and constitutes a quite incomplete and not homogeneous work-in-progress.
INRMM-MiD was experimentally established by the Maieutike Research Initiative in 2008 and then improved with the help of several volunteers (with a major technical upgrade in 2011). This new integrated interface is operational since 2014.