Results 51 to 60 of about 4,693,052 (300)

A Modified Random Forest Based on Kappa Measure and Binary Artificial Bee Colony Algorithm

IEEE Access, 2021
Random forest (RF) is an ensemble classifier method, all decision trees participate in voting, some low-quality decision trees will reduce the accuracy of random forest.
Chen Zhang, Xiaofeng Wang, Shengbing Chen, Hong Li, Xiaoxuan Wu, Xin Zhang   +5 more
doaj   +1 more source

Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones

FEBS Letters, EarlyView.
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley   +1 more source

Private Evaluation of Decision Trees using Sublinear Cost

Proceedings on Privacy Enhancing Technologies, 2019
Decision trees are widespread machine learning models used for data classification and have many applications in areas such as healthcare, remote diagnostics, spam filtering, etc.
Anselme Tueno, F. Kerschbaum, S. Katzenbeisser   +2 more
semanticscholar   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

Molecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker, Samantha Hasenleithner, Rupert Bartsch, Simon P. Gampenrieder, Daniel Egle, Christian F. Singer, Gabriel Rinnerthaler, Michael Hubalek, Katja Schmitz, Zsuzsanna Bago‐Horvath, Andreas Petzer, Sonja Heibl, Ellen Heitzer, Marija Balic, Michael Gnant   +14 more
wiley   +1 more source

Decision trees for regular factorial languages

Array, 2022
In this paper, we study arbitrary regular factorial languages over a finite alphabet Σ. For the set of words L(n)of the length n belonging to a regular factorial language L, we investigate the depth of decision trees solving the recognition and the ...
Mikhail Moshkov
doaj  

Building more accurate decision trees with the additive tree

Proceedings of the National Academy of Sciences of the United States of America, 2019
Significance As machine learning applications expand to high-stakes areas such as criminal justice, finance, and medicine, legitimate concerns emerge about high-impact effects of individual mispredictions on people’s lives.
J. Luna, E. Gennatas, L. Ungar, Eric Eaton, E. Diffenderfer, S. Jensen, C. Simone, J. Friedman, T. Solberg, G. Valdes   +9 more
semanticscholar   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Construction of Decision Trees and Acyclic Decision Graphs from Decision Rule Systems [PDF]

arXiv, 2023
Decision trees and systems of decision rules are widely used as classifiers, as a means for knowledge representation, and as algorithms. They are among the most interpretable models for data analysis. The study of the relationships between these two models can be seen as an important task of computer science.
arxiv  

Reinforced Decision Trees

, 2015
In order to speed-up classification models when facing a large number of categories, one usual approach consists in organizing the categories in a particular structure, this structure being then used as a way to speed-up the prediction computation. This is for example the case when using error-correcting codes or even hierarchies of categories.
Léon, Aurélia, Denoyer, Ludovic
openaire   +4 more sources

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source