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Dimension Reduction Forests: Local Variable Importance using Structured Random Forests [article]

Joshua Daniel Loyal, Ruoqing Zhu, Yifan Cui, Xin Zhang
<span title="2021-03-24">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Random forests are one of the most popular machine learning methods due to their accuracy and variable importance assessment.  ...  However, random forests only provide variable importance in a global sense.  ...  The result is a powerful model-free predictive method that is more accurate than naively combining random forests with global SDR methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.13233v1">arXiv:2103.13233v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lofggd4wufe2ji355h5ipk4wxq">fatcat:lofggd4wufe2ji355h5ipk4wxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210410082858/https://arxiv.org/pdf/2103.13233v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/78/90781dd9166d4a4d13c500fe70fd2c4eff75f32e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2103.13233v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Understanding Random Forests: From Theory to Practice [article]

Gilles Louppe
<span title="2015-06-03">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Data analysis and machine learning have become an integrative part of the modern scientific methodology, offering automated procedures for the prediction of a phenomenon based on past observations, unraveling  ...  In the second part of this work, we analyse and discuss the interpretability of random forests in the eyes of variable importance measures.  ...  MN log N) Θ(MN 2 ) Θ(MN log N) complexity of the prediction procedure A second facet of computational complexity in random forests is the time required for making predictions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1407.7502v3">arXiv:1407.7502v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vb62j3zs7ndwnbmiula3exwqea">fatcat:vb62j3zs7ndwnbmiula3exwqea</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928020227/https://arxiv.org/pdf/1407.7502v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1d/47/1d4731b35f907dbd24b87f73b038ac91e2395a84.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1407.7502v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem [article]

Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius
<span title="2020-12-19">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We propose employing random forest not just for prediction, but also for generating instrumental variables to address the measurement error embedded in the prediction.  ...  We design a data-driven procedure to select tuples of individual trees from a random forest, in which one tree serves as the endogenous covariate and the other trees serve as its instruments.  ...  Therefore, ForestIV improves the robustness of causal inferences and decisions derived from procedures combining machine learning with econometric analyses.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2012.10790v1">arXiv:2012.10790v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nkjynwt7ljfq5ptoydrn57wnhu">fatcat:nkjynwt7ljfq5ptoydrn57wnhu</a> </span>
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Forests to the People: Decentralization and Forest Degradation in the Indian Himalayas

Jean-Marie Baland, Pranab Bardhan, Sanghamitra Das, Dilip Mookherjee
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yrk4o6nbqbab7evzxefv5f7w24" style="color: black;">World Development</a> </i> &nbsp;
It is based on ground-level ecological measures of forest quality (including canopy cover, biomass, lopping and regeneration) in forest areas adjoining a random sample of villages, and controls for unobserved  ...  Controlling for these factors, VP forests are found to be 20-30% less lopped, and similar on other dimensions. The lopping differences are greater the longer the forest has been under a VP.  ...  for combinations of the two (SE or NW).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.worlddev.2010.03.007">doi:10.1016/j.worlddev.2010.03.007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x4leqs5arjbplfkld6cmykexhe">fatcat:x4leqs5arjbplfkld6cmykexhe</a> </span>
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Importance measures derived from random forests: characterisation and extension [article]

Antonio Sutera
<span title="2021-06-21">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Big data analysis and machine learning, two sub-fields of artificial intelligence, are at the core of many recent breakthroughs in many application fields (e.g., medicine, communication, finance, ...),  ...  Nowadays new technologies, and especially artificial intelligence, are more and more established in our society.  ...  Indeed, the variable importance is often presented as a robust statistic to assess the feature contribution in the random forests model of the underlying data generating mechanism [Archer and Kimes, 2008  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.09473v2">arXiv:2106.09473v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5rb3wcdg6zggjf52pdql2uxriy">fatcat:5rb3wcdg6zggjf52pdql2uxriy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210623080208/https://arxiv.org/pdf/2106.09473v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/51/805158d1e37c1f2233496892fedd17e49c45e17f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2106.09473v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review

Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood, Samuel Hislop
<span title="2019-12-27">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The free open access data policy instituted for the Landsat archive since 2008 has revolutionised the use of Landsat data for forest monitoring, especially for estimating forest aboveground biomass (AGB  ...  First, using LTS allows for the filling of spatial and temporal data gaps in AGB predictions, improving the quality of AGB products and enabling the estimation of AGB across large areas and long time-periods  ...  Training Data For predicting AGB across space and time, LTS data need to be combined with plot training data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12010098">doi:10.3390/rs12010098</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/23fjemrmtva2xp2bo5fznkwmaa">fatcat:23fjemrmtva2xp2bo5fznkwmaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191228021605/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-00098/article_deploy/remotesensing-12-00098.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/60/32/603246544b746c385697917113c6720e19ccbbb0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12010098"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Deep Learning based Automated Forest Health Diagnosis from Aerial Images

Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
to the causal analysis of environmental changes and the predictive likelihood of forest fire.  ...  Convolutional Neural Network) approach, with a transfer learning scheme.  ...  Next we produced a mask by filling random colours over the dead trees and black for the background.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3012417">doi:10.1109/access.2020.3012417</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u5sxbbfspbf5voxdeii2ulglqq">fatcat:u5sxbbfspbf5voxdeii2ulglqq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718043607/https://ieeexplore.ieee.org/ielx7/6287639/8948470/09151141.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/40/ea/40eae9a521586b8cee948e53a6e0f91eb287ecb4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3012417"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Multivariate Conditional Granger Causality Analysis for Lagged Response of Soil Respiration in a Temperate Forest

Matteo Detto, Gil Bohrer, Jennifer Nietz, Kyle Maurer, Chris Vogel, Chris Gough, Peter Curtis
<span title="2013-10-09">2013</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
Granger causality is a statistical approach, originating in econometrics, used to identify the presence of linear causal interactions between time series of data, based on prediction theory.  ...  Ecological multivariate systems offer a suitable data set on which to apply recent advances in information theory and causality detection.  ...  Acknowledgments We thank Ha-Pe Schmid and Danilo Dragoni that participated in the design and the initial deployment of the soil respiration chambers. The UMBS flux site is funded by the U.S.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e15104266">doi:10.3390/e15104266</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eiqp36eh65b2xezna3pv4vclmm">fatcat:eiqp36eh65b2xezna3pv4vclmm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150930061203/http://www.mdpi.com/1099-4300/15/10/4266/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/61/19/6119d2ae10cdfa8f6d27ed2a5371a97d9bca40c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e15104266"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Spatial Heterogeneity of Willingness to Pay for Forest Management

Mikołaj Czajkowski, Wiktor Budziński, Danny Campbell, Marek Giergiczny, Nick Hanley
<span title="2016-07-08">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hakghs2uirea5b3myms7hdswji" style="color: black;">Environmental and Resource Economics</a> </i> &nbsp;
The paper investigates the spatial heterogeneity of public's preferences for the implementation of a new country-wide forest management and protection program in Poland.  ...  Spatial econometric methods and high resolution geographical information system data related to forest characteristics are used to explain the variation in individual-specific willingness to pay (WTP)  ...  Acknowledgments This study was carried out as a part of the POLFOREX project ("Forest as a public good. Evaluation of social and environmental benefits of forests in Poland to improve management effi-  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10640-016-0044-0">doi:10.1007/s10640-016-0044-0</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7pd3vlmhoff5ne2himknzk35da">fatcat:7pd3vlmhoff5ne2himknzk35da</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171114091721/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/e79/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjEwMDcvczEwNjQwLTAxNi0wMDQ0LTAucGRm.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b5/b5/b5b54c937b2cbd7a5dff68c1250bdf4aa82e6ab7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10640-016-0044-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images

Sriram Ganapathi Subramanian, Mark Crowley
<span title="2018-04-19">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlezac7dejf2nhoj7swj2zsixe" style="color: black;">Frontiers in ICT</a> </i> &nbsp;
We present related work in artificial intelligence and machine learning for SSP sustainability domains including forest wildfire prediction.  ...  Rewards are provided for correctly classifying which cells are on fire or not compared with satellite and other related data.  ...  Neural Networks, Random Forests, and Tree-Based Classification are used as predictive models. A ROC curve (Specificity vs Sensitivity graph) analysis is done for parameter selection.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fict.2018.00006">doi:10.3389/fict.2018.00006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yidh2lgm2bcrvol3a5hpbrkmlm">fatcat:yidh2lgm2bcrvol3a5hpbrkmlm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213092427/https://fjfsdata01prod.blob.core.windows.net/articles/files/334036/pubmed-zip/.versions/1/.package-entries/fict-05-00006/fict-05-00006.pdf?sv=2015-12-11&amp;sr=b&amp;sig=RGcuWQJoH8KKQN9Cck98hcxLdMDEbkzDye6I5rWSr00%3D&amp;se=2020-02-13T09%3A24%3A55Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fict-05-00006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/bd/54bd9f180cd705b3dd94a457d9bab561ca525788.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fict.2018.00006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

Inequalities, institutions, and forest commons

Krister Andersson, Arun Agrawal
<span title="">2011</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tcr33uhggbb75fp2dc7xcgur2q" style="color: black;">Global Environmental Change</a> </i> &nbsp;
Data collection for the analysis in the paper was undertaken by members of the International Forestry Resources and Institutions network and the paper could not have been written without their gracious  ...  sharing of the data with network members.  ...  medicinal plants, grass for roofing, poles for fencing, and logs for construction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.gloenvcha.2011.03.004">doi:10.1016/j.gloenvcha.2011.03.004</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pzztt3a65jbmlpt5f2zsp6jdbq">fatcat:pzztt3a65jbmlpt5f2zsp6jdbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225130332/http://pdfs.semanticscholar.org/5fc1/b5a72b6f23433bd832df07ca1b18a0c61ecd.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/c1/5fc1b5a72b6f23433bd832df07ca1b18a0c61ecd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.gloenvcha.2011.03.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Gait phenotypes in paediatric hereditary spastic paraplegia revealed by dynamic time warping analysis and random forests

Irene Pulido-Valdeolivas, David Gómez-Andrés, Juan Andrés Martín-Gonzalo, Irene Rodríguez-Andonaegui, Javier López-López, Samuel Ignacio Pascual-Pascual, Estrella Rausell, Christos Papadelis
<span title="2018-03-08">2018</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
Random forests can estimate which are the most important isolated parameters to predict the classification revealed by DTW, since clinicians need to refer to them in their daily practice.  ...  López-López J, Pascual-Pascual SI, et al. (2018) Gait phenotypes in paediatric hereditary spastic paraplegia revealed by dynamic time warping analysis and random forests.  ...  We want to thank personnel from Escuela Universitaria de Fisioterapia ONCE-UAM (EUF-ONCE-UAM) for their collaboration in receiving tested patients and their families in their facilities and for maintenance  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0192345">doi:10.1371/journal.pone.0192345</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29518090">pmid:29518090</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5843164/">pmcid:PMC5843164</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pr5tbov4cnhlxc3bevrgl546jy">fatcat:pr5tbov4cnhlxc3bevrgl546jy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722054637/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0192345&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0b/02/0b02878d6bc3867b6e004382eced5c23a086d5fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0192345"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5843164" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Bayesian learning of forest and tree graphical models [article]

Edmund Jones
<span title="2021-08-31">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
I give adapted versions of MCMC and SSS for approximating the posterior distribution for forests and trees, and systems for storing these graphs so that it is easy to choose moves to neighbouring graphs  ...  I give two corrected versions of an algorithm for non-decomposable graphs and discuss random graph distributions, in particular as prior distributions.  ...  Acknowledgements I would like to thank my supervisor, Vanessa Didelez, for all her advice and guidance.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.13992v1">arXiv:2108.13992v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/v34ddpig4jcchoog24viamengy">fatcat:v34ddpig4jcchoog24viamengy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210907070732/https://arxiv.org/ftp/arxiv/papers/2108/2108.13992.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/a6/2da64c565024bc49516b51fb3b4fd3140fb931a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.13992v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Tropical Forests in the Anthropocene

Yadvinder Malhi, Toby A. Gardner, Gregory R. Goldsmith, Miles R. Silman, Przemyslaw Zelazowski
<span title="2014-10-17">2014</span> <i title="Annual Reviews"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/im7dvgdie5carcu5fgzeohhkzy" style="color: black;">Annual Review Environment and Resources</a> </i> &nbsp;
We are grateful to Greg Asner, Robin Chazdon, Bill Laurance, Oliver Phillips, John Terborgh, Joe Wright, Tereza Cavazos, and Tom Tomich for their thoughtful and helpful reviews of this manuscript.  ...  ACKNOWLEDGMENTS Y.M. is supported by the Frank Jackson Foundation and an Advanced Investigator Award of the European Research Council (ERC). G.R.G. is supported by the ERC.  ...  The process of deforestation is not random, with forest remnants often confined to steeper slopes and hilltops unsuitable for agriculture, particularly in older landscapes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1146/annurev-environ-030713-155141">doi:10.1146/annurev-environ-030713-155141</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dx7weizmrbdhtigkg7v45suqu4">fatcat:dx7weizmrbdhtigkg7v45suqu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200508025506/https://www.annualreviews.org/doi/pdf/10.1146/annurev-environ-030713-155141" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/09/29/09295f4529be5909a8c0bc46f71fc74356bb2427.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1146/annurev-environ-030713-155141"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Predicting resistive wall mode stability in NSTX through balanced random forests and counterfactual explanations

A. Piccione, J.W. Berkery, S.A. Sabbagh, Y. Andreopoulos
<span title="2022-01-18">2022</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fqg4ipclgrggzfesknt5th4vhm" style="color: black;">Nuclear Fusion</a> </i> &nbsp;
In order to extend that idea, a customized random forest (RF) classifier that takes into account imbalances in the training data is hereby employed to predict resistive wall mode (RWM) stability for a  ...  Given that this result emerges from the data-driven RF classifier and the use of counterfactuals without hand-crafted embedding of prior physics intuition, it motivates the usage of counterfactuals to  ...  The digital data for this paper can be found at http://arks. princeton.edu/ark:/88435/dsp015q47rr88m  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1741-4326/ac44af">doi:10.1088/1741-4326/ac44af</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qkdkfkqgefbqtfpbd55tgxooza">fatcat:qkdkfkqgefbqtfpbd55tgxooza</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204105052/https://discovery.ucl.ac.uk/id/eprint/10142885/1/Piccione_2022_Nucl._Fusion_62_036002.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cf/0d/cf0d29bef3e499067d1893bf4efc2b3ad0c4c03a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1741-4326/ac44af"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> iop.org </button> </a>
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