Results 61 to 70 of about 5,778,654 (336)

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service [PDF]

, 2017
In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal estimation of the demand that is a function of variable effects related to ...
Cools, Mario, Farooq, Bilal, Saadi, Ismaïl, Teller, Jacques, Wong, Melvin   +4 more
core  

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

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

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

Studies of Boosted Decision Trees for MiniBooNE Particle Identification

, 2005
Boosted decision trees are applied to particle identification in the MiniBooNE experiment operated at Fermi National Accelerator Laboratory (Fermilab) for neutrino oscillations.
Aguilar, Breiman, Byron P. Roe, Dettling, Freund, Freund, Friedman, Friedman, Friedman, Friedman, Goldberg, Hai-Jun Yang, Hastie, Holland, Ji Zhu, Roe, Zhou, Zhou   +17 more
core   +2 more sources

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

Gut microbiota diversity is prognostic in metastatic hormone receptor‐positive breast cancer patients receiving chemotherapy and immunotherapy

Molecular Oncology, EarlyView.
In this exploratory study, we investigated the relationship between the gut microbiota and outcome in patients with metastatic hormone receptor‐positive breast cancer, treated in a randomized clinical trial with chemotherapy alone or chemotherapy in combination with immune checkpoint blockade.
Andreas Ullern, Kristian Holm, Nikolai Kragøe Andresen, Andreas Hagen Røssevold, Corinna Bang, Bjørn Naume, Johannes R. Hov, Jon Amund Kyte   +7 more
wiley   +1 more source

ANALYZING BIG DATA WITH DECISION TREES [PDF]

, 2014
ANALYZING BIG DATA WITH DECISION ...
Leong, Lok Kei
core   +1 more source

Using K-Means Cluster Analysis and Decision Trees to Highlight Significant Factors Leading to Homelessness [PDF]

, 2021
Andrea Yoder Clark, Nicole Blumenfeld, Eric Lal, Shikar Darbari, Shiyang Northwood, Ashkan Wadpey   +5 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source