machine-learning-algorithms

Documents about machine-learning-algorithms

• Multi-scalar risk drivers for a heat vulnerability assessment framework using machine learning algorithms#5815Europe PMC
• The 2020 US Decennial Census is more private than you (might) think#153003arXiv (OAI)
• Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms#189022arXiv
• Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms#189072arXiv Biology
• Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms#189122arXiv (OAI Expanded)
• Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms#189172arXiv (OAI)
• Optimising supervised machine learning algorithms predicting cigarette cravings and lapses for a smoking cessation just-in-time adaptive intervention (JITAI).#189914NCBI PubMed Central
• Beyond divination : stabilizing the interpretability of machine learning algorithms#202489HAL (France)
• Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms#328787Semantic Scholar
• Modeling predictors of incomplete antenatal care utilization among reproductive-age women in Ethiopia using machine learning algorithms and SHAP interpretation.#358335NCBI PubMed Central
• Improving selection methods and data representation towards increasing explainability in evolutionary algorithms#403509ULRR
• Comparing machine learning algorithms for non-invasive detection and classification of failure in piezoresistive bone cement via electrical impedance tomography#670823MIT Open Scholarship
• On two proofs of $d^2$ mixing of weighted Dikin walks#788560arXiv (OAI Expanded)
• On two proofs of $d^2$ mixing of weighted Dikin walks#792560arXiv (All)
• Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients#803834ClinicalTrials.gov
• Capturing Key MG-symptoms Using Smartphone Recordings.#854484ClinicalTrials.gov
• Parameterised graph theory for tensor networks: entanglement rerouting, structural simplification, and agnostic tomography#927031arXiv (All)
• High-Magnetization Sampling at Low Temperatures: Ising Models and Bayesian Sparse Linear Regression#986498arXiv (All)
• A Table-Free Index for Tapered Memoization Grids: Compact Out-of-Core Evaluation of Functions of Sorted Arguments#1034044arXiv (All)
• Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning#643439Harvard DASH
• Algorithms for Discovering Collections of High-Quality and Diverse Solutions, With Applications to Bayesian Non-Negative Matrix Factorization and Reinforcement Learning#643491Harvard DASH
• A clinical scoring system for the early identification of superinfections in patients with severe fever with thrombocytopenia syndrome: An ambispective multicentre cohort study#679666PLOS
• Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications#19985DOAJ
• Shining a light on camouflage evolution: Using genetic algorithms to determine the effects of geometry and lighting on optimal camouflage.#145843NCBI PubMed Central
• A hybrid approach: Meta-Heuristic with optimizing machine learning algorithms for intrusion detection systems#401049Springer Nature OA
• Application of machine learning algorithms for prediction of abortion and its determinants among women of reproductive-age in East African countries.#439059NCBI PubMed Central
• Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms#809224arXiv (OAI Expanded)
• Positron Emission Tomography (PET) Images Using Deep Neural Networks#810592ClinicalTrials.gov
• Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms#819216arXiv (All)
• Discrete Gromov-Wasserstein Duality: Algorithms and Isomorphism Testing#921223arXiv (OAI Expanded)
• Discrete Gromov-Wasserstein Duality: Algorithms and Isomorphism Testing#925459arXiv (All)
• Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler#974984arXiv (All)
• The Cost of Privacy: Rates of Convergence for Parameter Estimation with Differential Privacy#1036498arXiv (All)
• Algorithmic Collusion and the Complexity of Information-Value-Free Equilibria#1037440arXiv (All)
• Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference#451752Duke Law Scholarship Repository
• Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study#1054733PLOS
• Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression#158651arXiv (OAI)
• Development of a risk prediction model for second primary thyroid cancer in female breast cancer patients based on machine learning algorithms.#327271NCBI PubMed Central
• Construction and verification of a prediction model for sleep disorders in older patients with coronary heart disease based on machine learning algorithms.#371295NCBI PubMed Central
• Machine learning-based diagnostic models for prevalent metabolic syndrome among patients with disuse muscle atrophy: a comparative study of seven algorithms.#465300NCBI PubMed Central
• Evaluating the accuracy of sex estimation from human tooth volume: leveraging automated AI segmentation and comparative analysis of machine learning algorithms.#469384NCBI PubMed Central
• General, Data-Driven Representations and Algorithms for Catalyst Design and Discovery#634804eScholarship
• Gut microbiota-derived metabolites target C5AR1/KDM2A/HCAR3 axis in inflammatory bowel disease: a multi-machine learning algorithms and molecular docking study.#662772NCBI PubMed Central
• Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms#1013403arXiv (All)
• Introduction to Machine Learning#3579MIT OpenCourseWare
• ‏Real-time validation of advanced control strategies for grid-connected PV-wind hybrid systems using adaptive starfish and greedy man optimization algorithms.#479285NCBI PubMed Central
• Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers#790164arXiv (OAI Expanded)
• Fully Distributed GNE Algorithms for Multi-Robot Placement without Consensus on Multipliers#794183arXiv (All)
• A Sharp Barrier for Consistent Submodular Maximization: Any Improvement over $2-\sqrt{2}$ Entails Exponential Queries or Linear Recourse#996790arXiv (All)
• Discover Interesting Patterns for Investment Decision Making with GLOWER - A Genetic Learner Overlaid With Entropy Reduction#942828NYU Faculty Digital Archive