Zobrazeno 1 - 10
of 701
pro vyhledávání: '"Baumgartner,Richard"'
Autor:
Liang, Annie, Jemielita, Thomas, Liaw, Andy, Svetnik, Vladimir, Huang, Lingkang, Baumgartner, Richard, Klusowski, Jason M.
Variable importance plays a pivotal role in interpretable machine learning as it helps measure the impact of factors on the output of the prediction model. Model agnostic methods based on the generation of "null" features via permutation (or related
Externí odkaz:
http://arxiv.org/abs/2402.03447
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations
Autor:
Pan, Shaoyan, Liu, Yiqiao, Halek, Sarah, Tomaszewski, Michal, Wang, Shubing, Baumgartner, Richard, Yuan, Jianda, Goldmacher, Gregory, Chen, Antong
In oncology research, accurate 3D segmentation of lesions from CT scans is essential for the modeling of lesion growth kinetics. However, following the RECIST criteria, radiologists routinely only delineate each lesion on the axial slice showing the
Externí odkaz:
http://arxiv.org/abs/2309.01823
Kernel ridge regression (KRR) has recently attracted renewed interest due to its potential for explaining the transient effects, such as double descent, that emerge during neural network training. In this work, we study how the alignment between the
Externí odkaz:
http://arxiv.org/abs/2206.14255
Autor:
Kujawski, Stephanie A., Ru, Boshu, Afanador, Nelson Lee, Conway, James H., Baumgartner, Richard, Pawaskar, Manjiri
Publikováno v:
In Vaccine 2 December 2024 42(26)
Autor:
Feng, Dai, Baumgartner, Richard
Kernels ensuing from tree ensembles such as random forest (RF) or gradient boosted trees (GBT), when used for kernel learning, have been shown to be competitive to their respective tree ensembles (particularly in higher dimensional scenarios). On the
Externí odkaz:
http://arxiv.org/abs/2108.08752
Autor:
Pocock, Stuart J., Owen, Ruth, Gregson, John, Mt-Isa, Shahrul, Baumgartner, Richard, Ashby, Deborah, Stone, Gregg W.
Publikováno v:
In Journal of Thrombosis and Haemostasis May 2024 22(5):1399-1409
Health economic evaluations often require predictions of survival rates beyond the follow-up period. Parametric survival models can be more convenient for economic modelling than the Cox model. The generalized gamma (GG) and generalized F (GF) distri
Externí odkaz:
http://arxiv.org/abs/2106.14109
Autor:
Riggs, Daniel W., Baumgartner, Kathy B., Baumgartner, Richard, Boone, Stephanie, Judd, Suzanne E., Bhatnagar, Aruni
Publikováno v:
In Environmental Pollution 15 March 2024 345
Autor:
Feng, Dai, Baumgartner, Richard
Tree based ensembles such as Breiman's random forest (RF) and Gradient Boosted Trees (GBT) can be interpreted as implicit kernel generators, where the ensuing proximity matrix represents the data-driven tree ensemble kernel. Kernel perspective on the
Externí odkaz:
http://arxiv.org/abs/2012.10737
Autor:
Feng, Dai, Baumgartner, Richard
Breiman's random forest (RF) can be interpreted as an implicit kernel generator,where the ensuing proximity matrix represents the data-driven RF kernel. Kernel perspective on the RF has been used to develop a principled framework for theoretical inve
Externí odkaz:
http://arxiv.org/abs/2009.00089