Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
techhub.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A hub primarily for passionate technologists, but everyone is welcome

Administered by:

Server stats:

5.2K
active users

techhub.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.7

#modelcomparison

0 posts0 participants0 posts today
Matasoft<p>Mistral 7B excels at everyday reasoning while OLMo2 7B shines in knowledge-intensive tasks. See how both perform in our (Un)Perplexed Spready software in our latest comparison! <a href="https://matasoft.hr/qtrendcontrol/index.php/un-perplexed-spready/un-perplexed-spready-various-articles/146-comparative-analysis-of-mistral-7b-and-olmo2-7b-on-the-ollama-platform" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">matasoft.hr/qtrendcontrol/inde</span><span class="invisible">x.php/un-perplexed-spready/un-perplexed-spready-various-articles/146-comparative-analysis-of-mistral-7b-and-olmo2-7b-on-the-ollama-platform</span></a><br> <a href="https://mastodon.world/tags/AIPowered" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIPowered</span></a> <a href="https://mastodon.world/tags/ModelComparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ModelComparison</span></a> <a href="https://mastodon.world/tags/BusinessIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BusinessIntelligence</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #265 The limited epistemic value of ‘variation analysis’ (R^2)</p><p>Thoughts: Interesting post and comments on what we can and can't say from an r2 metric.</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/r2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r2</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/variance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>variance</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/models" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>models</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>causalinference</span></a></p><p><a href="https://larspsyll.wordpress.com/2023/05/23/the-limited-epistemic-value-of-variation-analysis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">larspsyll.wordpress.com/2023/0</span><span class="invisible">5/23/the-limited-epistemic-value-of-variation-analysis/</span></a></p>
💧🌏 Greg Cocks<p>Integrated Topographic Corrections Improve Forest Mapping Using Landsat Imagery<br />--<br /><a href="https://doi.org/10.1016/j.jag.2022.102716" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.jag.2022.102</span><span class="invisible">716</span></a> &lt;-- shared 2022 paper<br />--<br />“HIGHLIGHTS:<br /> • [They] evaluated the impacts of topographic correction on forest mapping in the mountains.<br /> • The enhanced C-correction and the physical model reduced topographic effects.<br /> • The corrected Landsat imagery time series resulted in higher accuracy.<br /> • Terrain information improved classification but not as much as topographic correction.<br /> • [They] recommend using topographic correction for forest cover mapping...&quot;<br /><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="tag">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="tag">#<span>spatial</span></a> <a href="https://techhub.social/tags/AtmosphericCorrection" class="mention hashtag" rel="tag">#<span>AtmosphericCorrection</span></a> <a href="https://techhub.social/tags/IlluminationCondition" class="mention hashtag" rel="tag">#<span>IlluminationCondition</span></a> <a href="https://techhub.social/tags/LandCover" class="mention hashtag" rel="tag">#<span>LandCover</span></a> <a href="https://techhub.social/tags/ModelComparison" class="mention hashtag" rel="tag">#<span>ModelComparison</span></a> <a href="https://techhub.social/tags/TimeSeries" class="mention hashtag" rel="tag">#<span>TimeSeries</span></a> <a href="https://techhub.social/tags/TopographicCorrection" class="mention hashtag" rel="tag">#<span>TopographicCorrection</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="tag">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/comparasion" class="mention hashtag" rel="tag">#<span>comparasion</span></a> <a href="https://techhub.social/tags/topographic" class="mention hashtag" rel="tag">#<span>topographic</span></a> <a href="https://techhub.social/tags/correction" class="mention hashtag" rel="tag">#<span>correction</span></a> <a href="https://techhub.social/tags/NDVI" class="mention hashtag" rel="tag">#<span>NDVI</span></a> <a href="https://techhub.social/tags/forest" class="mention hashtag" rel="tag">#<span>forest</span></a> <a href="https://techhub.social/tags/vegetation" class="mention hashtag" rel="tag">#<span>vegetation</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="tag">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="tag">#<span>modeling</span></a> <a href="https://techhub.social/tags/spatialanalyis" class="mention hashtag" rel="tag">#<span>spatialanalyis</span></a> <a href="https://techhub.social/tags/accuracy" class="mention hashtag" rel="tag">#<span>accuracy</span></a> <a href="https://techhub.social/tags/forestcover" class="mention hashtag" rel="tag">#<span>forestcover</span></a> <a href="https://techhub.social/tags/Russia" class="mention hashtag" rel="tag">#<span>Russia</span></a> <a href="https://techhub.social/tags/Georgia" class="mention hashtag" rel="tag">#<span>Georgia</span></a> <a href="https://techhub.social/tags/CaucasusMountains" class="mention hashtag" rel="tag">#<span>CaucasusMountains</span></a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="tag">#<span>spatiotemporal</span></a> <a href="https://techhub.social/tags/landsat" class="mention hashtag" rel="tag">#<span>landsat</span></a> <a href="https://techhub.social/tags/elevation" class="mention hashtag" rel="tag">#<span>elevation</span></a> <a href="https://techhub.social/tags/DEM" class="mention hashtag" rel="tag">#<span>DEM</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #196 JASP Bayesian ANOVA</p><p>Thoughts: @JASPStats is used by researchers to "add some bayes factors" to their results. But, do you know what those actually reflect? Here is what their team says:</p><p><a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/bayesfactors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/anova" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>anova</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a></p><p><a href="https://static.jasp-stats.org/about-bayesian-anova.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">static.jasp-stats.org/about-ba</span><span class="invisible">yesian-anova.html</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #174 The Principle of Predictive Irrelevance</p><p>Thoughts: "when two competing models predict a data set equally well, that data set cannot be used to discriminate the models and the data set is evidentially irrelevant"</p><p><a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/inference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inference</span></a></p><p><a href="https://www.bayesianspectacles.org/the-principle-of-predictive-irrelevance-or-why-intervals-should-not-be-used-for-model-comparison-featuring-a-point-null-hypothesis/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">bayesianspectacles.org/the-pri</span><span class="invisible">nciple-of-predictive-irrelevance-or-why-intervals-should-not-be-used-for-model-comparison-featuring-a-point-null-hypothesis/</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #171 Guideline of Selecting &amp; Reporting Intraclass Correlation Coefficients for Reliability Research</p><p>Thoughts: "There are 10 forms of ICCs." Are you reporting the correct one? Find out!</p><p><a href="https://mastodon.social/tags/ICC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ICC</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/reliability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>reliability</span></a> <a href="https://mastodon.social/tags/interraterreliability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>interraterreliability</span></a></p><p><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4913118/#!po=15.7143" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">ncbi.nlm.nih.gov/pmc/articles/</span><span class="invisible">PMC4913118/#!po=15.7143</span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #51 R Functions for Variance Decomposition {varde}</p><p>Thoughts: A useful package to get more insight into your mixed effects model.</p><p><a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/mixedeffects" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mixedeffects</span></a> <a href="https://mastodon.social/tags/lmm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lmm</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> </p><p><a href="https://github.com/jmgirard/varde" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/jmgirard/varde</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu 🌼🐝<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>statstab</span></a> #44 A note on the interpretation of incremental fit indices</p><p>Thoughts: A "good fit" is a meaningless statement. There are no rules of thumb 👍</p><p><a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>regression</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelcomparison</span></a> </p><p><a href="https://www.tandfonline.com/doi/full/10.1080/10705511.2022.2050730" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">tandfonline.com/doi/full/10.10</span><span class="invisible">80/10705511.2022.2050730</span></a></p>
💧🌏 Greg Cocks<p>Comparative Analysis Of Performance And Mechanisms Of Flood Inundation Map Generation Using Height Above Nearest Drainage<br />--<br /><a href="https://doi.org/10.1016/j.envsoft.2022.105565" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1016/j.envsoft.2022</span><span class="invisible">.105565</span></a> &lt;-- shared paper<br />--<br /><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="tag">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="tag">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="tag">#<span>mapping</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="tag">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="tag">#<span>modeling</span></a> <a href="https://techhub.social/tags/flood" class="mention hashtag" rel="tag">#<span>flood</span></a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="tag">#<span>water</span></a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="tag">#<span>hydrology</span></a> <a href="https://techhub.social/tags/floodinundation" class="mention hashtag" rel="tag">#<span>floodinundation</span></a> <a href="https://techhub.social/tags/floodinundationmapping" class="mention hashtag" rel="tag">#<span>floodinundationmapping</span></a> <a href="https://techhub.social/tags/heightabovenearestdrainage" class="mention hashtag" rel="tag">#<span>heightabovenearestdrainage</span></a> <a href="https://techhub.social/tags/modelcomparison" class="mention hashtag" rel="tag">#<span>modelcomparison</span></a> <a href="https://techhub.social/tags/modelconfiguration" class="mention hashtag" rel="tag">#<span>modelconfiguration</span></a> <a href="https://techhub.social/tags/performanceanalysis" class="mention hashtag" rel="tag">#<span>performanceanalysis</span></a> <a href="https://techhub.social/tags/FIM" class="mention hashtag" rel="tag">#<span>FIM</span></a> <a href="https://techhub.social/tags/HAND" class="mention hashtag" rel="tag">#<span>HAND</span></a> <a href="https://techhub.social/tags/NWC" class="mention hashtag" rel="tag">#<span>NWC</span></a> <a href="https://techhub.social/tags/NWM" class="mention hashtag" rel="tag">#<span>NWM</span></a> <a href="https://techhub.social/tags/hydrofabric" class="mention hashtag" rel="tag">#<span>hydrofabric</span></a> <a href="https://techhub.social/tags/USA" class="mention hashtag" rel="tag">#<span>USA</span></a> <a href="https://techhub.social/tags/nationwide" class="mention hashtag" rel="tag">#<span>nationwide</span></a> <a href="https://techhub.social/tags/floodmapping" class="mention hashtag" rel="tag">#<span>floodmapping</span></a> <a href="https://techhub.social/tags/NWCH" class="mention hashtag" rel="tag">#<span>NWCH</span></a> <a href="https://techhub.social/tags/NHD" class="mention hashtag" rel="tag">#<span>NHD</span></a> <a href="https://techhub.social/tags/NHDPlusHR" class="mention hashtag" rel="tag">#<span>NHDPlusHR</span></a> <a href="https://techhub.social/tags/NHDPlus" class="mention hashtag" rel="tag">#<span>NHDPlus</span></a> <a href="https://techhub.social/tags/inundation" class="mention hashtag" rel="tag">#<span>inundation</span></a> <a href="https://techhub.social/tags/weather" class="mention hashtag" rel="tag">#<span>weather</span></a> <a href="https://techhub.social/tags/precipitation" class="mention hashtag" rel="tag">#<span>precipitation</span></a> <a href="https://techhub.social/tags/catchment" class="mention hashtag" rel="tag">#<span>catchment</span></a> <a href="https://techhub.social/tags/ratingcurves" class="mention hashtag" rel="tag">#<span>ratingcurves</span></a> <a href="https://techhub.social/tags/prediction" class="mention hashtag" rel="tag">#<span>prediction</span></a> <a href="https://techhub.social/tags/climate" class="mention hashtag" rel="tag">#<span>climate</span></a> <a href="https://techhub.social/tags/NOAA" class="mention hashtag" rel="tag">#<span>NOAA</span></a> <span class="h-card" translate="no"><a href="https://techhub.social/@nws" class="u-url mention">@<span>nws</span></a></span> <a href="https://techhub.social/tags/USGS" class="mention hashtag" rel="tag">#<span>USGS</span></a></p>
ExploreLive feeds
About