Search Results - First-order variable elimination algorithm*

Algoritmos de inferência exata para modelos de primeira ordem.

Exact inference algorithms for first-order models.

Authors: Takiyama, Felipe Iwao

Thesis Advisors: Cozman, Fabio Gagliardi

Subject Terms: AC-FOVE, Algoritmo de eliminação de variáveis em primeira ordem, Algoritmo de inferência exata, Exact inference algorithm, First-order variable elimination algorithm

File Description: application/pdf

Availability: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-23122014-145932/

Screening the characteristic hyperspectral wavelength variables of peanut leaves based on coupled algorithms to predict SPAD value in peanut.

Authors: Su, Tao Liu, Xinbei Lei, Bo et al.

Source: International Journal of Remote Sensing; Nov2024, Vol. 45 Issue 22, p8334-8354, 21p

Subject Terms: GENETIC algorithms, RANDOM sets, FOLIAGE plants, LEAF anatomy, PLANT development, PEANUTS

FMPLEX: EXPLORING A BRIDGE BETWEEN FOURIER-MOTZKIN AND SIMPLEX.

Authors: PROMIES, VALENTIN NALBACH, JASPER ÁBRAHÁM, ERIKA et al.

Source: Logical Methods in Computer Science (LMCS); 2025, Vol. 21 Issue 2, p1-25, 25p

Subject Terms: SIMPLEX algorithm, ARITHMETIC, LOGIC, ALGORITHMS, CONFERENCES & conventions

Lifted Variable Elimination: Decoupling the Operators from the Constraint Language.

Authors: Taghipour, Nima Fierens, Daan Davis, Jesse et al.

Source: Journal of Artificial Intelligence Research. May2013, Vol. 47, p393-439. 47p.

Subject Terms: Mathematical decoupling, Probabilistic inference, Algorithms, Programming languages, First-order logic

Lifted Variable Elimination for Probabilistic Logic Programming.

Authors: BELLODI, ELENA LAMMA, EVELINA RIGUZZI, FABRIZIO et al.

Source: Theory & Practice of Logic Programming; Jul2014, Vol. 14 Issue 4/5, p681-695, 15p

Subject Terms: LOGIC programming, PROBABILITY theory, RANDOM variables, ELIMINATION (Mathematics), SEMANTICS, ARTIFICIAL intelligence, ALGORITHMS

Color-Sensitive Sensor Array Combined with Machine Learning for Non-Destructive Detection of AFB 1 in Corn Silage.

Authors: Wan, Daqian Tian, Haiqing Guo, Lina et al.

Source: Agriculture; Basel; Jul2025, Vol. 15 Issue 14, p1507, 25p

Subject Terms: AFLATOXINS, FEED corn silage, SPECTRUM analysis, PREDICTION models, OPTICAL sensors, NONDESTRUCTIVE testing, FEATURE selection, MACHINE learning

Rapid Detection of Protein Content in Fuzzy Cottonseeds Using Portable Spectrometers and Machine Learning.

Authors: Dong, Xiaofeng Li, Qingxu Luo, Zhenwei et al.

Source: Processes; Oct2025, Vol. 13 Issue 10, p3221, 15p

Subject Terms: COTTONSEED, NEAR infrared spectroscopy, PROTEIN analysis, NUTRITIONAL value, NONDESTRUCTIVE testing, CHEMOMETRICS, MACHINE learning

Algoritmos de inferência exata para modelos de primeira ordem.

Exact inference algorithms for first-order models.

Authors: Felipe Iwao Takiyama

Thesis Advisors: Fabio Gagliardi Cozman, Kate Cerqueira Revoredo, Paulo Eduardo Santos

Source: Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.

Subject Terms: AC-FOVE, Algoritmo de eliminação de variáveis em primeira ordem, Algoritmo de inferência exata, Exact inference algorithm, First-order variable elimination algorithm

Availability: http://www.teses.usp.br/teses/disponiveis/3/3152/tde-23122014-145932/

Elimination dynamique : accélération des algorithmes d'optimisation convexe pour les régressions parcimonieuses

Dynamic screening : accelerating convex optimization algorithms for sparse regressions

Authors: Bonnefoy, Antoine

Thesis Advisors: Aix-Marseille, Ralaivola, Liva, Emiya, Valentin

Subject Terms: Régressions parcimonieuses, Algorithmes du premier ordre, Optimisation convexe, Élimination de variables, Parcimonie structurée, Algorithmes par ensemble actif, Élimination dynamique, Sparse regression, Convex optimization, First-Order algorithms, Screening test, Structured sparsity, Active-Set algorithms, Dynamic screening, 004

Availability: http://www.theses.fr/2016AIXM4011/document

Prediction of Anthocyanin Content in Purple-Leaf Lettuce Based on Spectral Features and Optimized Extreme Learning Machine Algorithm.

Authors: Liu, Chunhui Yu, Haiye Liu, Yucheng et al.

Source: Agronomy; Dec2024, Vol. 14 Issue 12, p2915, 19p

Subject Terms: EXTREME learning machines, METAHEURISTIC algorithms, MACHINE learning, OPTIMIZATION algorithms, FEATURE selection

Probabilistic Theorem Proving.

Authors: Gogate, Vibhav Domingos, Pedro

Source: Communications of the ACM; Jul2016, Vol. 59 Issue 7, p107-115, 9p, 1 Diagram, 5 Charts, 2 Graphs

Subject Terms: PROBABILISTIC inference, FIRST-order logic, GENERALIZATION, MATHEMATICS theorems, INFERENCE (Logic)

An Optimized Bidirectional Long Short‐Term Memory Model Based on Hyperspectral Analysis of Protein Content in Milk Powder.

Authors: Zhang, Wenjing Xue, Heru Jiang, Xinhua et al.

Source: Food Science & Nutrition; Jan2025, Vol. 13 Issue 1, p1-12, 12p

Subject Terms: METAHEURISTIC algorithms, MACHINE learning, MILK proteins, STANDARD deviations, DEEP learning, DRIED milk

Determination of Total Phenolics Content in Blueberry Juice Fermented by Lactic Acid Bacteria Using Visible-Near Infrared Spectroscopy. (English)

Authors: YANG Suqun Xiayidan MAIMAITI LI Lingyu et al.

Source: Journal of Chinese Institute of Food Science & Technology / Zhongguo Shipin Xuebao; Apr2025, Vol. 25 Issue 4, p404-414, 11p

Subject Terms: STANDARD deviations, MULTIPLE scattering (Physics), LACTIC acid bacteria, INFRARED spectra, RANDOM forest algorithms

Fusing First-order Knowledge Compilation and the Lifted Junction Tree Algorithm

Authors: Braun, Tanya Möller, Ralf

Index Terms: Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/1807.00743

Real-Time ZIP Load Parameter Tracking Using Sensitivity-Based Adaptive Window and Variable Elimination With Realistic Synchrophasor Data.

Authors: Rizvi, Syed M Hur Sadanandan, Sajan K. Srivastava, Anurag K.

Source: IEEE Transactions on Industry Applications; Nov/Dec2021, Vol. 57 Issue 6, p6525-6536, 12p

Subject Terms: KALMAN filtering, PHASOR measurement, RADAR in aeronautics, PARAMETER estimation, SITUATIONAL awareness, COVARIANCE matrices, IMPACT loads

Identifying feature genes of chickens with different feather pecking tendencies based on three machine learning algorithms and WGCNA.

Authors: Wen, Jiying Yang, Shenglin Zhu, Jinjin et al.

Source: Frontiers in Veterinary Science. 2024, p1-12. 12p.

Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy.

Authors: Li, Chenxiao Yu, Jiatong Wang, Sheng et al.

Source: Agronomy; Jul2025, Vol. 15 Issue 7, p1505, 19p

Subject Terms: SOYBEAN, NEAR infrared spectroscopy, METROLOGY, TESTING equipment, STATISTICAL models, PROTEINS, FATS & oils, MOISTURE

Research on Defect Detection in Kubo Peach Based on Hyperspectral Imaging Technology Combined with CARS-MIV-GA-SVM Method.

Authors: Zhang, Lixiu Nie, Pengcheng Zhang, Shujuan et al.

Source: Foods; Oct2023, Vol. 12 Issue 19, p3593, 17p

Subject Terms: PEACH, SPECTRAL imaging, SUPPORT vector machines, AUTOMATIC classification, FEATURE extraction, GENETIC algorithms

Exact or approximate inference in graphical models: why the choice is dictated by the treewidth, and how variable elimination can be exploited.

Authors: Peyrard, N. Cros, M.‐J. Givry, S. et al.

Source: Australian & New Zealand Journal of Statistics; Jun2019, Vol. 61 Issue 2, p89-133, 45p

Subject Terms: HIDDEN Markov models, TREE graphs, BENCHMARK problems (Computer science), COMPUTER science

Decomposition-based Synthesis for Applying Divide-and-Conquer-like Algorithmic Paradigms.

Authors: Ji, Ruyi Zhao, Yuwei Xiong, Yingfei et al.

Source: ACM Transactions on Programming Languages & Systems; Jun2024, Vol. 46 Issue 2, p1-59, 59p

Subject Terms: DECOMPOSITION method, PROGRAM transformation, SYNTAX (Grammar)