statistical-learning

Documents about statistical-learning

• A Statistical Mechanical Framework for Predicting Fermi Contact NMR Shifts.#610281NCBI PubMed Central
• A Theoretical Framework for Statistical Evaluability of Generative Models#617519arXiv (OAI Expanded)
• A Theoretical Framework for Statistical Evaluability of Generative Models#618019arXiv (All)
• Adapting generative representation learning for small clinical data and statistical interpretation#619750Deutsche Nationalbibliothek
• ClinAgent: AI-assisted methodology for clinical trial data processing and statistical programming.#678371NCBI PubMed Central
• Bellman-sufficient Information Complexity#797539arXiv (OAI Expanded)
• Bellman-sufficient Information Complexity#798953arXiv (All)
• A statistical framework for dynamic cognitive diagnosis in digital learning environments#820210arXiv (All)
• Generative Nested Sampling of Atomistic Thermodynamic Landscapes#925554arXiv (All)
• A Function-Space Approach to the Statistical Mechanics of Learning Dynamics#987323arXiv (All)
• Cross-Block Conditioning in Deep Boltzmann Machines for Statistical Data Fusion#1012362arXiv (All)
• Bringing external knowledge to tabular learning#257623HAL (France)
• Machine learning kinetics from molecular dynamics data#1011460arXiv (All)
• New Statistical Methods to Assess How Patients with Different Traits Respond to the Same Treatment#1761NCBI Bookshelf
• Local Diffusion Models and Phases of Data Distributions#158764arXiv (OAI)
• Statistical inference of additive monotone models and instance-optimality of multi-armed bandits and reinforcement learning#206992RUcore, Rutgers University Community Repository
• A Guide to Constructing Indigenous Statistical Spaces for Prevention Science Research.#214010NCBI PubMed Central
• Spontaneous emergence of context-dependent statistical learning in humans and neural networks.#613307NCBI PubMed Central
• Statistical and Deep Learning Approaches for Predicting Degradation of Polymeric Materials in Photovoltaics#661263arXiv (OAI Expanded)
• Statistical and Deep Learning Approaches for Predicting Degradation of Polymeric Materials in Photovoltaics#662313arXiv (All)
• Comparing statistical learning models in wastewater-based epidemiology: An application to norovirus#1033818arXiv (All)
• Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training#5984arXiv CS
• Mind wandering impedes statistical learning during serial but not parallel visual search#146626OSF
• The Other-Race Effect in Implicit Memory for Face Combinations#316614OSF
• pFedCal: Lightweight Personalized Federated Learning With Adaptive Calibration Strategy#374021DR-NTU (Digital Repository of NTU)
• Complementary structure of statistical significance and predictive relevance in explainable machine learning-based transcriptomic tissue classification of Hanwoo cattle.#385149NCBI PubMed Central
• The Elements of Statistical Learning#6340OpenAlex
• Statistical crystallography reveals an allosteric network in SARS-CoV-2 M(pro).#152182NCBI PubMed Central
• Findings of the 2013 Workshop on Statistical Machine Translation#163413WIPO
• Quantum Glassiness From Efficient Learning#173281arXiv (OAI)
• FedCSGA: Evolutionary client selection with joint statistical and system heterogeneity in federated learning#268418Griffith Research Online
• Early reaction time variability predicts implicit statistical learning: a comparison of four variability indices#321437bioRxiv / medRxiv
• Mini-batch Estimation for Deep Cox Models: Statistical Foundations and Practical Guidance.#446079NCBI PubMed Central
• Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs#921110arXiv (OAI Expanded)
• Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs#925346arXiv (All)
• Entropy-Generated Attention Beyond Softmax and Entmax: Kaniadakis and Reciprocal-Symmetric Abe Operators#925919arXiv (All)
• W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators#972850arXiv (All)
• Using Seismic Statistical Features and VQ-VAE to Improve Spatiotemporal Seismicity Predictability#997500arXiv (All)
• Unsupervised Machine Learning of the Contact Process#1012383arXiv (All)
• SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification#1014560arXiv (All)
• RLVR is a Kernel, Not a Function: Statistical Inference for pass@$k$ Crossovers#1037230arXiv (All)
• Propagating uncertainties related to the automatic processing of sensor data in statistical models in ecology.#796424HAL (France)
• Prediction of Factors Influencing the Incidence of Diabetic Foot Ulcers Using Classical Statistical and Machine Learning Approaches: A Systematic Review.#364615NCBI PubMed Central
• Exploring hemodynamic measurements from the Tromsø Study for prediction of cardiovascular disease using traditional statistical models and machine learning approaches.#610349NCBI PubMed Central
• A statistical approach to bias in zero-shot learning: the lens of handwriting recognition#996999arXiv (All)
• Topics in Statistics: Statistical Learning Theory#3221MIT OpenCourseWare
• Effects of Statistical Learning on Stimulus Detection Speed Reflect Attention Rather Than Representational Changes.#196022NCBI PubMed Central
• Evaluating statistical methods to predict indoor black carbon in an urban birth cohort.#351517NCBI PubMed Central
• Auditory brainstem response detection using machine learning: a comparison with statistical detection methods#361101Southampton
• Livestock Multi-Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation.#449809NCBI PubMed Central