【研究リンク集】確率モデル、オンラインカジノ(オンカジ)解説サイトも紹介

当サイトは、日本以外の海外で確率モデルを扱う研究者のために、学会の研究部会にて紹介したリンク集です。 (お問い合わせはこちら。)
確率ゲーム、オンラインカジノ(オンカジ)解説サイト
初心者の方は、文献を読む以外に、確率ゲームで体感するというのも宜しいかと思います。
ここでは、確率ゲームを知ることのできるオンラインカジノ(オンカジ)について詳しく書かれた解説サイトをご紹介します。
⇒【『ベラジョンカジノ』の解説サイト】
⇒【『遊雅堂(ゆうがどう)』の解説サイト】
⇒【『カジノシークレット(CASINO SECRET)』の解説サイト】
⇒【『インターカジノ』の解説サイト】
⇒【『エンパイアカジノ(正式名称:エンパイア777)』の解説サイト】
⇒【『ビットカジノ(BitCasino)』の解説サイト】
⇒【『ミスティーノ(Mystino)』の解説サイト】
⇒【『カジ旅』の解説サイト】
※こういった所からも確率モデルの研究に役に立つインスピレーションを得ることができると思われます。
また、以下に役に立つ文献をご紹介します。
Urban Flood Drifters (UFDs): Onset of Movement
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Reconciliation of expert priors for quantities and events and application within the probabilistic Delphi method
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HACD: Hand-Aware Conditional Diffusion for Monocular Hand-Held Object Reconstruction
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Variational Annealing on Graphs for Combinatorial Optimization
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Decompositions of the mean continuous ranked probability score
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Geometric Covering using Random Fields
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Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
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Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions
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Optimal F-score Clustering for Bipartite Record Linkage
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Transitive inference as probabilistic preference learning
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HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms
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Deriving Comprehensible Theories from Probabilistic Circuits
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Probabilistic Inference in Reinforcement Learning Done Right
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Hierarchical Matrix Factorization for Interpretable Collaborative Filtering
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The signaling dimension in generalized probabilistic theories
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Synaptic Sampling of Neural Networks
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PINNs-Based Uncertainty Quantification for Transient Stability Analysis
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LLVM Static Analysis for Program Characterization and Memory Reuse Profile Estimation
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MiniAnDE: a reduced AnDE ensemble to deal with microarray data
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RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery
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Reliability Analysis of Fault Tolerant Memory Systems
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Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning
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Learn to Augment Network Simulators Towards Digital Network Twins
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Variational Elliptical Processes
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On the calculation of upper variance under multiple probabilities
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A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series
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Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization
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Procedural Generation of Grain Orientations using the Wave Function Collapse Algorithm
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ChatGPT and post-test probability
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FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
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Efficient Algorithms for All Port-Based Teleportation Protocols
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Brownian bridge limit of path measures in the upper tail of KPZ models
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Metrological power of incompatible measurements
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Linearity Property of Unique Colourings in Random Graphs
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DiffGANPaint: Fast Inpainting Using Denoising Diffusion GANs
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A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI
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Synchronization rates and limit laws for random dynamical systems
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GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
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ε-fractional Core Stability in Hedonic Games
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Comparison among Classical, Probabilistic and Quantum Algorithms for Hamiltonian Cycle problem
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Short-term Volatility Estimation for High Frequency Trades using Gaussian processes (GPs)
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Closely-Spaced Object Classification Using MuyGPyS
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Modeling tsunammi inundation for hazard assessment of the Coral Coast of Fiji: Communities of Sigatoka and Cuvu
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SDDPM: Speckle Denoising Diffusion Probabilistic Models
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Assurance for Deployed Continual Learning Systems
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A method of estimating the content of crystalline phases in multiphase samples based on X-ray diffraction data
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Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach
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DisCoPy: the Hierarchy of Graphical Languages in Python
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Pcεκmax-Means++: Adapt-P Driven by Energy and Distance Quality Probabilities Based on κ-Means++ for the Stable Election Protocol (SEP)
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Ultra-quantum coherent states in a single finite quantum system
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Realization of a programmable multi-purpose photonic quantum memory with over-thousand qubit manipulations
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Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems
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Correct-by-Construction Control for Stochastic and Uncertain Dynamical Models via Formal Abstractions
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Tracking the Newsworthiness of Public Documents
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On the Quantification of Image Reconstruction Uncertainty without Training Data
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The impact of effective participation in stopping misinformation: an approach based on Branching Process
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Robust Conformal Prediction for STL Runtime Verification under Distribution Shift
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Labeled Interactive Topic Models
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Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
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Beyond PCA: A Probabilistic Gram-Schmidt Approach to Feature Extraction
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Time-dependent Probabilistic Generative Models for Disease Progression
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Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models
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Scalable Diffusion for Materials Generation
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DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
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Hyperlinear approximations to amenable groups come from sofic approximations
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From Trees to Polynomials and Back Again: New Capacity Bounds with Applications to TSP
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Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging
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Three Conjectures on Unexpectedeness
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Probabilistic Representations of Ordered Exponentials: Vector-Valued Schrodinger Semigroups and the Combinatorics of Anderson Localization
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MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
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Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models
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A probabilistic interpretation of Weil's explicit sums and arithmetic spectral measures
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Towards a Transportable Causal Network Model Based on Observational Healthcare Data
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Nontrivial t-designs in polar spaces exist for all t
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Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures
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Stochastic Optimization of Large-Scale Parametrized Dynamical Systems
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Non-autoregressive Machine Translation with Probabilistic Context-free Grammar
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Brain-Driven Representation Learning Based on Diffusion Model
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Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation
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Covering Codes, List-Decodable Codes and Strong Singleton-Like Bounds in the Sum-Rank Metric
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Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process
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The brain uses renewal points to model random sequences of stimuli
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Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
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On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
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Candidates for Transiting Planets in OGLE-IV Galactic Bulge Fields
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Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
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Sticky Brownian motions on star graphs
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Robust semi-supervised segmentation with timestep ensembling diffusion models
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Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach
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An Empirical Model For Intrinsic Alignments: Insights From Cosmological Simulations
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A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market
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Spright: a probabilistic mass-density-radius relation for small planets
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Normalising Flows for Bayesian Gravity Inversion
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Robust Probabilistic Prediction for Stochastic Dynamical Systems
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Towards probabilistic Weather Forecasting with Conditioned Spatio-Temporal Normalizing Flows
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Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Programs
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Real-Time Probabilistic Programming
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Theory of Compression Channels for Post-selected Metrology
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A Classification of Asymptotic Behaviors of Green Functions of Random Walks in the Quadrant
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Double-Free-Layer Stochastic Magnetic Tunnel Junctions with Synthetic Antiferromagnets
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