Results 121 to 130 of about 4,859,475 (319)

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Proceedings of the AAAI Conference on Artificial Intelligence
Decision trees remain one of the most popular machine learning models today, largely due to their out-of-the-box performance and interpretability. In this work, we present a Bayesian approach to decision tree induction via maximum a posteriori inference of a posterior distribution over trees.
Sullivan, Colin, Tiwari, Mo, Thrun, Sebastian   +2 more
openaire   +2 more sources

Endocytic Programming via Porous Silicon Nanoparticles Enhances TLR4 Nanoagonist Potency for Macrophage‐Mediated Immunotherapy

Advanced Functional Materials, EarlyView.
Porous silicon nanoparticles (PSiNPs) reprogram macrophage endocytosis of manganese@albumin‐based TLR4 nanoagonists, driving TRIF‐biased TLR4 signaling, eliciting robust proinflammatory responses, and potentiating macrophage‐mediated immunotherapeutic effects against NSCLC.
Xiaomei Zhang, Huiying Li, Shuodan Huang, Linxuan Zhang, Yan Gao, Ruoran Wang, Xiaoyu Wang, Hélder A. Santos, Zhenyu Yin, Bing Xia   +9 more
wiley   +1 more source

Application of decision trees in credit scoring

Ekonomski Vjesnik, 2013
Banks are particularly exposed to credit risk due to the nature of their operations. Inadequate assessment of the borrower directly causes losses. The financial crisis the global economy is still going through has clearly shown what kind of problems ...
Ljiljanka Kvesić
doaj  

An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees

Mathematical and Computational Applications
This study addresses the challenge of generating accurate and compact oblique decision trees using self-adaptive differential evolution algorithms. Although traditional decision tree induction methods create explainable models, they often fail to achieve
Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez   +3 more
doaj   +1 more source

Cholesterol in mRNA‐Lipid Nanoparticles can be Replaced with the Synthetic Mycobacterial Monomycoloyl Glycerol Analogue MMG‐1

Advanced Functional Materials, EarlyView.
This study demonstrates that cholesterol in messenger RNA‐lipid nanoparticles (mRNA‐LNPs) can be completely replaced with an immunopotentiating lipid, i.e., a synthetic analogue of the C‐type lectin receptor agonist monomycoloyl glycerol (MMG‐1), without compromising physicochemical properties, in vivo transfection efficiency, and immunogenicity of the
Abhijeet G. Lokras, Saahil S. Baghel, Rune F. Jensen, Aneesh Thakur, Henrik Franzyk, Oskar Thofte, Marco Herrera‐Barrera, Madeleine Landry, Melike Ongun, Ahmad Tami, Marlene P. Thanthrige, Eva Callens, Corinne Beinat, Thomas Rades, Søren R. Paludan, Kristian Riesbeck, Ida Rosenkrands, Dennis Christensen, Gabriel K. Pedersen, Camilla Foged   +19 more
wiley   +1 more source

Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers [PDF]

Journal of Information Technology Management, 2010
Decision trees as one of the data mining techniques, is used in credit scoring of bank customers. The main problem is the construction of decision trees in that they can classify customers optimally.
Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei   +2 more
doaj  

Learning decision trees using the Fourier spectrum [PDF]

, 1991
Eyal Kushilevitz, Yishay Mansour
openalex   +1 more source

A Transparent Semicrystalline Polymer Used in Thermally Responsive Smart Window Application

Advanced Functional Materials, EarlyView.
A thermally responsive smart window is fabricated based on a transparent semicrystalline polymer via copolymerizing stearyl acrylate and ethoxylated trimethylolpropane triacrylate. The high transparency is achieved by restricting the crystal domain to nanometer size via ultraviolet curing at a high temperature.
Jiacheng Fan, Thomas Wakuta, HyeonJi Hong, Ying Liu, Yu‐Ching Chen, Rongke Xu, Yuxuan Guo, Jianghan Wu, Isabelle Winardi, Ting‐Hsuan Wu, Zhixin Xie, Yuan Meng, Qibing Pei   +12 more
wiley   +1 more source

Comparison of the use of binary decision trees and neural networks in top-quark detection [PDF]

, 1993
David Bowser-Chao, Debra Lynn Dzialo
openalex   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source