2,950 research outputs found
matthias-mayr/Cartesian-Impedance-Controller: Version 1.1.1 - JOSS paper version
<p>First release of the repository with archiving by Zenodo.</p>
<h2>What's changed since the JOSS submission</h2>
<ul>
<li>Added unit tests by @jsaltducaju in https://github.com/matthias-mayr/Cartesian-Impedance-Controller/pull/13</li>
<li>Chore: Adds yaml-cpp as dependency and use catkin_make by @matthias-mayr in https://github.com/matthias-mayr/Cartesian-Impedance-Controller/pull/16</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@jsaltducaju made their first PR in https://github.com/matthias-mayr/Cartesian-Impedance-Controller/pull/13</li>
<li>@matthias-mayr made their first PR in https://github.com/matthias-mayr/Cartesian-Impedance-Controller/pull/16</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/matthias-mayr/Cartesian-Impedance-Controller/commits/v1.1.1</p>
The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae)
Sanetra, Matthias, Güsten, Robert (2001): The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae). Zootaxa 20: 1-2
The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae)
Sanetra, Matthias, Güsten, Robert (2001): The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae). Zootaxa 20: 1-2
FIGURE 7 in The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae)
FIGURE 7. Distribution of Strongylognathus afer Emery in northern Tunisia and northeastern Algeria. Squares: literature data; circles: new records. The location of Dir el Kef could not be ascertained, presumably this denomination refers to a mountainous site near Le Kef.Published as part of Sanetra, Matthias & Güsten, Robert, 2001, The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae), pp. 1-20 in Zootaxa 20 on page 10, DOI: 10.5281/zenodo.462028
Matthias Wagner : author profile
The author presented on this page has published his 10. article in Angewandte Chemie in the last 10 years
GAMLSS for high-dimensional data – a flexible approach based on boosting
Generalized additive models for location, scale and shape (GAMLSS) are a popular semi-parametric modelling approach that, in contrast to conventional GAMs, regress not only the expected mean but every distribution parameter (e.g. location, scale and shape) to a set of covariates. Current fitting procedures for GAMLSS are infeasible for high-dimensional data setups and require variable selection based on (potentially problematic) information criteria. The present work describes a boosting algorithm for high-dimensional GAMLSS that was developed to overcome these limitations. Specifically, the new algorithm was designed to allow the simultaneous estimation of predictor effects and variable selection. The proposed algorithm was applied to data of the Munich Rental Guide, which is used by
landlords and tenants as a reference for the average rent of a flat depending on its characteristics and spatial features. The net-rent predictions that resulted from the high-dimensional GAMLSS were found to be highly competitive while covariate-specific prediction intervals showed a major improvement over classical GAMs
FIGURES 46. Strongylognathus afer Emery, workers. 4 in The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae)
FIGURES 46. Strongylognathus afer Emery, workers. 4, Head (frontal view) of worker from J. Gora'a (smallest specimen); 5, head (frontal view) of worker from Nefza (largest specimen); 6, petiolar nodes (dorsal view) of worker from Nefza (same as 5); scale bar mm; drawings by A. Schulz.Published as part of Sanetra, Matthias & Güsten, Robert, 2001, The socially parasitic ant genus Strongylognathus Mayr in North Africa (Insecta: Hymenoptera: Formicidae), pp. 1-20 in Zootaxa 20 on page 7, DOI: 10.5281/zenodo.462028
Rational Powers in Interaction: Replies to Paul, Andreou, Brunero, Mayr, and Haase
A response to review essays by Chrisoula Andreou, John Brunero, Matthias Haase, Erasmus Mayr, and Sarah Paul on Sergio Tenenbaum's _Rational Powers in Action
Rational Powers in Interaction: Replies to Paul, Andreou, Brunero, Mayr, and Haase
A response to review essays by Chrisoula Andreou, John Brunero, Matthias Haase, Erasmus Mayr, and Sarah Paul on Sergio Tenenbaum's _Rational Powers in Action
De meteoris
praeside Coelestino Romoser ... publice propugnabit ... Matthias Eustachius Hölz
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