Results 21 to 30 of about 219,190 (262)

DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning

Proc. ACM Manag. Data, 2023
As machine learning (ML) has been widely developed in real-world applications, the privacy of ML models draws an increasing concern. In this paper, we study how to forget specific data records from ML models to preserve the privacy of these data ...
Zhaomin Wu, Junhui Zhu, Q. Li, Bingsheng He   +3 more
semanticscholar   +1 more source

Hopcroft’s Problem, Log* Shaving, Two-dimensional Fractional Cascading, and Decision Trees

ACM Trans. Algorithms, 2023
We revisit Hopcroft’s problem and related fundamental problems about geometric range searching. Given n points and n lines in the plane, we show how to count the number of point-line incidence pairs or the number of point-above-line pairs in O(n4/3) time,
Timothy M. Chan, D. Zheng
semanticscholar   +1 more source

Optimal direct sum results for deterministic and randomized decision tree complexity [PDF]

Information Processing Letters, 2010
A Direct Sum Theorem holds in a model of computation, when solving some k input instances together is k times as expensive as solving one. We show that Direct Sum Theorems hold in the models of deterministic and randomized decision trees for all relations.
Rahul Jain 0001, Hartmut Klauck, Miklos Santha   +2 more
openaire   +3 more sources

Development and validation of predictive models for unplanned hospitalization in the Basque Country: analyzing the variability of non-deterministic algorithms

BMC Medical Informatics and Decision Making, 2023
Background The progressive ageing in developed countries entails an increase in multimorbidity. Population-wide predictive models for adverse health outcomes are crucial to address these growing healthcare needs.
Alexander Olza, Eduardo Millán, María Xosé Rodríguez-Álvarez   +2 more
doaj   +1 more source

Low-visibility forecasts for different flight planning horizons using tree-based boosting models [PDF]

Advances in Statistical Climatology, Meteorology and Oceanography, 2019
Low-visibility conditions enforce special procedures that reduce the operational flight capacity at airports. Accurate and probabilistic forecasts of these capacity-reducing low-visibility procedure (lvp) states help the air traffic management in ...
S. J. Dietz, P. Kneringer, G. J. Mayr, A. Zeileis   +3 more
doaj   +1 more source

Determination of the most appropriate fertilizing method for apple trees using multi‐criteria decision‐making (MCDM) approaches

Food Science & Nutrition, 2023
Appropriate tree fertilization with essential nutrients is considered as one of the major factors in enhancing the quality and quantity of horticultural crops. The most efficient way to fertilize trees is to dig holes around the trunks and fill them with
Mohsen Heidarisoltanabadi, B. Elhami, Abdollah Imanmehr, A. Khadivi   +3 more
semanticscholar   +1 more source

Comparison of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes

CoRR, 2023
arXiv admin note: substantial text overlap with arXiv:2305.06093, arXiv:2304 ...
Azimkhon Ostonov, Mikhail Moshkov
openaire   +2 more sources

Scientific Opinion on the development of a risk ranking toolbox for the EFSA BIOHAZ Panel [PDF]

EFSA Journal, 2015
Eight tools relevant to risk ranking of biological hazards in food were identified and assessed using two case studies. Differences in their performance were observed, related to the risk metrics, data requirements, ranking approach, model type, model ...
EFSA Panel on Biological Hazards (BIOHAZ)
doaj   +1 more source

Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data [PDF]

Atmospheric Measurement Techniques, 2017
The detection of convective initiation (CI) is very important because convective clouds bring heavy rainfall and thunderstorms that typically cause severe socio-economic damage.
S. Lee, H. Han, J. Im, E. Jang, M.-I. Lee   +4 more
doaj   +1 more source

Performance of Resampling Methods Based on Decision Trees, Parametric and Nonparametric Bayesian Classifiers for Three Medical Datasets

Studies in Logic, Grammar and Rhetoric, 2013
The figures visualizing single and combined classifiers coming from decision trees group and Bayesian parametric and nonparametric discriminant functions show the importance of diversity of bagging or boosting combined models and confirm some theoretical
Ćwiklińska-Jurkowska Małgorzata M.
doaj   +1 more source