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🔗 Markov Chains
Stochastic Processes, State Transitions, Probability Models
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112658
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309.4
ms
Discrete-time, discrete-state
multistate
Markov models from the perspective of
algebraic
statistics
arxiv.org
·
3d
📊
Empirical Bayes
Markov State Models for Tracking Reaction Dynamics on
Catalytic
Nanoparticles
arxiv.org
·
1d
📦
Compartmental Models
Explainable
Causal Reinforcement Learning for heritage language
revitalization
programs with inverse simulation verification
dev.to
·
12h
·
Discuss:
DEV
⛰️
Gradient Descent
Enhancing grid balancing services from electric vehicle
aggregators
under uncertainty: A probability-guaranteed
feasible
region approach
sciencedirect.com
·
59m
📐
Computational Geometry
Monads,
Applicatives
&
Functors
slicker.me
·
3h
🚀
Streamlit
Beyond train_test_split: 3 Pro Techniques to
Refine
Your Data
Splitting
dev.to
·
1h
·
Discuss:
DEV
⛰️
Gradient Descent
The
implementation
for the
drifting
model
breno.bearblog.dev
·
1d
⛰️
Gradient Descent
Causal
Inference through the lens of
probabilistic
programming
2026.pycon.de
·
18h
📊
Empirical Bayes
Self-Similar Inverse
Cascade
from Generalized
Symmetries
link.aps.org
·
8h
🗺️
Manifold Learning
Department of Computer Science and Technology – Course
pages
2017–18:
Computation
Theory
cl.cam.ac.uk
·
10h
📐
Computational Geometry
Signal
vs.
Noise
at Scale
blog.gorewood.games
·
1d
🔲
Zarr
ritamzico/pgraph
: A probabilistic graph inference engine written in Go. Models directed graphs where edges are independent Bernoulli random variables with associated probabilities. Designed for risk analysis, network reliability, and other probabilistic reachability queries.
github.com
·
9h
·
Discuss:
r/compsci
🗺️
Network Visualization
Active learning
Kriging
with functional dimension reduction for reliability analysis of stochastic
dynamical
systems
sciencedirect.com
·
2d
⛰️
Gradient Descent
Many-foot
dynamics
nature.com
·
1d
🗺️
Network Visualization
Lorentzian
Logic: Solving Unknown Cluster Numbers via
Differentiable
Graph Entropy
hackernoon.com
·
19h
🔥
ComplexHeatmap
Shel-y/q-drift
: Quantum-inspired CLI to analyze structural
fragility
and decision drift in distributed systems using Shannon Entropy and Signal Decay models.
github.com
·
1d
·
Discuss:
DEV
📄
FASTQ
BetaZero
V2: A Diffusion Model for Setting
Boulder
Problems
evmojo37.substack.com
·
1d
·
Discuss:
Substack
⛰️
Gradient Descent
Show HN:
Darius
– An AI router that
selects
the best model for each prompt
withdarius.com
·
23h
·
Discuss:
Hacker News
⛰️
Gradient Descent
Beyond
Latency
and Communication Complexity - A Tutorial on the
Pipes
Model
decentralizedthoughts.github.io
·
1d
🔲
Zarr
Bosonization
of Noise Effects in
Nonlocal
Quantum Dynamics
link.aps.org
·
1d
🎲
Stochastic differential equation
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