Results 91 to 100 of about 661,892 (379)

Pre-processing for Triangulation of Probabilistic Networks [PDF]

open access: yes, 2013
The currently most efficient algorithm for inference with a probabilistic network builds upon a triangulation of a network's graph. In this paper, we show that pre-processing can help in finding good triangulations forprobabilistic networks, that is ...
Bodlaender, Hans L.   +3 more
core   +2 more sources

Making triangulations 4-connected using flips

open access: yes, 2011
We show that any combinatorial triangulation on n vertices can be transformed into a 4-connected one using at most floor((3n - 9)/5) edge flips. We also give an example of an infinite family of triangulations that requires this many flips to be made 4 ...
Aichholzer   +13 more
core   +1 more source

Testing Accuracy and Repeatability of UAV Blocks Oriented with GNSS-Supported Aerial Triangulation

open access: yesRemote Sensing, 2017
UAV Photogrammetry today already enjoys a largely automated and efficient data processing pipeline. However, the goal of dispensing with Ground Control Points looks closer, as dual-frequency GNSS receivers are put on board.
Francesco Benassi   +6 more
semanticscholar   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Triangulation dans les techniques d’analyse documentaire : Un déficit à combler par le programme de L.M.D. en sociologie [PDF]

open access: yesMouvements et Enjeux Sociaux, 2022
Résumé Cette étude rompt avec le réductionnisme du champ des sources documentaires de la recherche en sciences sociales en proposant plutôt leur triangulation en vue de garantir des résultats toujours fiables et crédibles. Autrement dit, « la finalité
Sylvain SHOMBA KINYAMBA
doaj  

Tight triangulations of closed 3-manifolds

open access: yes, 2016
It is well known that a triangulation of a closed 2-manifold is tight with respect to a field of characteristic two if and only if it is neighbourly; and it is tight with respect to a field of odd characteristic if and only if it is neighbourly and ...
Bagchi, Bhaskar   +2 more
core   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Review: Christian Seipel & Peter Rieker (2003). Integrative Sozialforschung. Konzepte und Methoden der qualitativen und quantitativen empirischen Forschung [Integrative Social Research. Concepts and Methods of Qualitative and Quantitative Research]

open access: yesForum: Qualitative Social Research, 2004
This textbook on empirical research methods, written by Christian SEIPEL and Peter RIEKER, deals with the logic of quantitative and qualitative research as well as different methods of empirical research.
Nicole Burzan
doaj  

Quality in Qualitative Organizational Research: types of triangulation as a methodological alternative

open access: yes, 2018
The dichotomous debate between objectivity and subjectivity in Social Sciences and the differences between qualitative and quantitative approaches in research are related to the strong demand for validation and accreditation of studies.
Márcio Moutinho Abdalla   +3 more
semanticscholar   +1 more source

SuperResNET: Model‐Free Single‐Molecule Network Analysis Software Achieves Molecular Resolution of Nup96

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li   +6 more
wiley   +1 more source

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