Results 81 to 90 of about 86,158 (257)

Improving Genotype Imputation in High‐Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Multiple imputation is well‐established for handling missing data, yet its use in high‐dimensional genetic datasets remains limited. Using pharmacokinetic tuberculosis simulations and SNP data (1000 Genomes Project), we compared machine learning (ML) and traditional approaches (e.g., mean imputation and complete‐case analysis) for imputation and ...
Innocent G. Asiimwe, Tao You, Daniel F. Carr, Munir Pirmohamed, Geraint Davies, Andrea L. Jorgensen, on behalf of the UNITE4TB Consortium   +6 more
wiley   +1 more source

Vector search using method of clustering using ensemble of oblivious trees

Научно-технический вестник информационных технологий, механики и оптики
Information retrieval using machine learning algorithms is based on transforming the original multimodal documents into vector representations. These vectors are then indexed, and the search is performed within this index.
N. A. Tomilov, V. P. Turov, A. A. Babayants, A. V. Platonov   +3 more
doaj   +1 more source

Can Nondeterminism Help Complementation?

, 2012
Complementation and determinization are two fundamental notions in automata theory. The close relationship between the two has been well observed in the literature.
Aniello Murano, Büchi, Cai, Cai, Cai, Choueka, Colcombet, Francez, Francez, Gurevich, Kupferman, Löding, Marco Faella, McNaughton, Muller, Piterman, Rabin, Safra, Safra, Safra, Schewe, Schewe, Schwoon, Ting Zhang, Vardi, Yan, Yang Cai   +26 more
core   +2 more sources

Towards a Conceptual Integration of Collective Victimization Beliefs and Their Variation Within and Across Contexts: A Q Methodology Study in Five Communities

European Journal of Social Psychology, EarlyView.
ABSTRACT Although social psychological research on how people understand collective victimization often examines comparisons between groups’ suffering, studies on related concepts (e.g., collective trauma) suggest numerous other relevant beliefs. The present article aimed to integrate diverse collective victimization beliefs and contribute to their ...
Johanna Ray Vollhardt, Helin Ünal, Zsolt P. Szabó, Hu Young Jeong, J. Christopher Cohrs, Danielle Black   +5 more
wiley   +1 more source

Early warning system for coffee rust disease based on error correcting output codes: a proposal

Revista Ingenierías Universidad de Medellín, 2014
Colombian coffee producers have had to face the severe consequences of the coffee rust disease since it was first reported in the country in 1983. Recently, machine learning researchers have tried to predict infection through classifiers such as decision
David Camilo Corrales, Andrés J Peña Q, Carlos León, Apolinar Figueroa, Juan Carlos Corrales   +4 more
doaj  

Comparative analysis of machine learning algorithms for predicting Dubai property prices

Frontiers in Applied Mathematics and Statistics
IntroductionPredicting property prices is a crucial task in the real estate market, and machine learning algorithms offer valuable tools for accurate predictions. In this study, we introduce a comprehensive comparison of eight well-known machine learning
Abdulsalam Elnaeem Balila, Ani Bin Shabri   +1 more
doaj   +1 more source

The Power of Non-Determinism in Higher-Order Implicit Complexity

, 2017
We investigate the power of non-determinism in purely functional programming languages with higher-order types. Specifically, we consider cons-free programs of varying data orders, equipped with explicit non-deterministic choice.
A Goerdt, A Goerdt, AJ Kfoury, AM Ben-Amram, C Papadimitriou, D Carvalho de, G Bonfante, I Oitavem, L Kristiansen, L Kristiansen, L Kristiansen, M Sipser, N Immerman, N Jones, N Jones, S Bellantoni, SA Cook, U Dal Lago   +17 more
core   +1 more source

Record‐Wise Disaggregated Seismic Fragilities for Interconnected Systems

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic risk assessment studies typically rely on fragility functions/curves to characterize the susceptibility of an asset or a class of assets to damage. These curves are essentially a summarization of responses evaluated on the basis of ground motions with record characteristics and intensities that may or may not be tied to a specific site
Nikolaos D. Karaferis, Vasileios E. Melissianos, Athanasia K. Kazantzi, Konstantinos Bakalis, Dimitrios Vamvatsikos   +4 more
wiley   +1 more source

IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM

E-Jurnal Matematika
Trading involves purchasing stocks at low prices and then selling them at high prices to generate profits in a short period. Although it offers significant gains, trading is considered a high-risk activity.
MOCH. ANJAS APRIHARTHA, M. HUSNIYADI, TAUFIK NUR ALAM   +2 more
doaj   +1 more source

Probabilistic Analysis for Randomized Game Tree Evaluation

, 2004
We give a probabilistic analysis for the randomized game tree evaluation algorithm of Snir. We first show that there exists an input such that the running time, measured as the number of external nodes read by the algorithm, on that input is maximal in ...
Khan, Tämur Ali, Neininger, Ralph
core   +2 more sources