151 lines
6.2 KiB
BibTeX
151 lines
6.2 KiB
BibTeX
@article{bennettDecisionTreeConstruction1992,
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title = {Decision Tree Construction via Linear Programming},
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author = {Bennett, Kristin},
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year = 1992,
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month = jan,
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journal = {Proceedings of the 4th Midwest Artificial Intelligence and Cognitive Science Society Conference, Utica, Illinois}
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}
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@book{bishopPatternRecognitionMachine2006,
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title = {Pattern Recognition and Machine Learning},
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author = {Bishop, Christopher M.},
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year = 2006,
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series = {Information Science and Statistics},
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publisher = {Springer},
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address = {New York},
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isbn = {978-0-387-31073-2},
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langid = {english},
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lccn = {006.4},
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file = {/home/lars/Zotero/storage/9H5W9BGC/Bishop - 2006 - Pattern recognition and machine learning.pdf}
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}
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@article{bognerRegularizationOptimizationAll2025,
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title = {Regularization and {{Optimization}} Is {{All You Need}}?},
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author = {Bogner, Lars},
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year = 2025,
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month = oct
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}
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@misc{elstnerLectureMachineLearning2025,
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type = {{Lecture}},
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title = {{Lecture: Machine Learning for Chemistry}},
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author = {Elstner, Marcus and Kubar, Tomas},
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year = 2025,
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month = may,
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address = {Karlsruhe Institute for Technology, Karlsruhe},
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langid = {ngerman},
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file = {/home/lars/Zotero/storage/5LSLJMK8/Elstner and Kubar - 2025 - Lecture Machine Learning for Chemistry.pdf}
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}
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@book{goodfellowDeepLearning2016,
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title = {Deep {{Learning}}},
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author = {Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron},
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year = 2016,
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publisher = {MIT Press}
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}
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@article{harrisArrayProgrammingNumPy2020,
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title = {Array Programming with {{NumPy}}},
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author = {Harris, Charles R. and Millman, K. Jarrod and van der Walt, St{\'e}fan J. and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and van Kerkwijk, Marten H. and Brett, Matthew and Haldane, Allan and del R{\'i}o, Jaime Fern{\'a}ndez and Wiebe, Mark and Peterson, Pearu and {G{\'e}rard-Marchant}, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
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year = 2020,
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month = sep,
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journal = {Nature},
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volume = {585},
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number = {7825},
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pages = {357--362},
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publisher = {{Springer Science and Business Media LLC}},
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doi = {10.1038/s41586-020-2649-2}
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}
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@book{hastieElementsStatisticalLearning2009,
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title = {The {{Elements}} of {{Statistical Learning}}},
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author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
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year = 2009,
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series = {Springer {{Series}} in {{Statistics}}},
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publisher = {Springer},
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address = {New York, NY},
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doi = {10.1007/978-0-387-84858-7},
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urldate = {2025-09-22},
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copyright = {http://www.springer.com/tdm},
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isbn = {978-0-387-84857-0 978-0-387-84858-7},
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keywords = {Averaging,Boosting,classification,clustering,data mining,machine learning,Projection pursuit,Random Forest,supervised learning,Support Vector Machine,unsupervised learning},
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file = {/home/lars/Zotero/storage/D3N4DVY9/Hastie et al. - 2009 - The Elements of Statistical Learning.pdf}
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}
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@article{hunterMatplotlib2DGraphics2007,
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title = {Matplotlib: {{A 2D}} Graphics Environment},
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author = {Hunter, J. D.},
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year = 2007,
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journal = {Computing in Science \& Engineering},
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volume = {9},
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number = {3},
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pages = {90--95},
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publisher = {IEEE COMPUTER SOC},
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doi = {10.1109/MCSE.2007.55},
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abstract = {Matplotlib is a 2D graphics package used for Python for application development, interactive scripting, and publication-quality image generation across user interfaces and operating systems.}
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}
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@misc{mostafaBreastCancerPrediction,
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title = {Breast {{Cancer Prediction}} (F1 = 0.99, {{AUC}} = 0.99)},
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author = {Mostafa, Omar},
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urldate = {2025-11-03},
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abstract = {Explore and run machine learning code with Kaggle Notebooks \textbar{} Using data from Breast Cancer Wisconsin (Diagnostic) Data Set},
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howpublished = {https://kaggle.com/code/omarmostafataha/breast-cancer-prediction-f1-0-99-auc-0-99},
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langid = {english},
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file = {/home/lars/Zotero/storage/NFAZ887D/breast-cancer-prediction-f1-0-99-auc-0-99.html}
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}
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@misc{NeuralNetworksTikZnet2024,
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title = {Neural Networks -- {{TikZ}}.Net},
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year = 2024,
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month = apr,
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urldate = {2025-11-01},
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abstract = {Some examples of neural network architectures: deep neural networks (DNNs), a deep convolutional neural network (CNN), an autoencoders (encoder+decoder), and the illustration of an activation function in neurons. Basic idea The full LaTeX code at the bottom of this post uses the listofitems library, so one can pre-define an array of the number of nodes\dots},
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langid = {american},
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file = {/home/lars/Zotero/storage/7F7GGAEU/neural_networks.html}
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}
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@article{pedregosaScikitlearnMachineLearning2011,
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title = {Scikit-Learn: {{Machine Learning}} in {{Python}}},
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author = {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
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year = 2011,
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journal = {Journal of Machine Learning Research},
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volume = {12},
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pages = {2825--2830}
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}
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@misc{teamPandasdevPandasPandas2025,
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title = {Pandas-Dev/Pandas: {{Pandas}}},
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shorttitle = {Pandas-Dev/Pandas},
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author = {pandas development {team}, The},
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year = 2025,
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month = sep,
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doi = {10.5281/zenodo.17229934},
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urldate = {2025-10-16},
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abstract = {Pandas is a powerful data structures for data analysis, time series, and statistics.},
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howpublished = {Zenodo},
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keywords = {data science,python},
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file = {/home/lars/Zotero/storage/QV289HHN/17229934.html}
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}
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@article{Waskom2021,
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title = {Seaborn: Statistical Data Visualization},
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author = {Waskom, Michael L.},
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year = 2021,
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journal = {Journal of Open Source Software},
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volume = {6},
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number = {60},
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pages = {3021},
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publisher = {The Open Journal},
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doi = {10.21105/joss.03021}
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}
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@misc{williamwolbergBreastCancerWisconsin1993,
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title = {Breast {{Cancer Wisconsin}} ({{Diagnostic}})},
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author = {William Wolberg, Olvi Mangasarian},
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year = 1993,
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publisher = {UCI Machine Learning Repository},
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doi = {10.24432/C5DW2B},
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urldate = {2025-11-01}
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}
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