Multisets and distributions, in drawing and learning
From MaRDI portal
Publication:6612805
DOI10.1007/978-3-031-24117-8_29MaRDI QIDQ6612805
Publication date: 1 October 2024
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Coalgebras, Chu spaces, and representations of physical systems
- A probabilistic PDL
- Semantics of probabilistic programs
- Soft evidential update for probabilistic multiagent systems
- From probability monads to commutative effectuses
- Nuclear and trace ideals in tensored \(^*\)-categories
- Learning along a channel: the expectation part of expectation-maximisation
- A synthetic approach to Markov kernels, conditional independence and theorems on sufficient statistics
- On the revision of probabilistic beliefs using uncertain evidence
- Categorical quantum mechanics
- H*-algebras and nonunital Frobenius algebras: first steps in infinite-dimensional categorical quantum mechanics
- Pointless Learning
- New Directions in Categorical Logic, for Classical, Probabilistic and Quantum Logic
- Bayesian Networks and Decision Graphs
- No-Cloning In Categorical Quantum Mechanics
- Modeling and Reasoning with Bayesian Networks
- The sheaf-theoretic structure of non-locality and contextuality
- The Logical Essentials of Bayesian Reasoning
- Arrow’s Theorem by Arrow Theory
- A channel-based perspective on conjugate priors
- The Mathematics of Changing One’s Mind, via Jeffrey’s or via Pearl’s Update Rule
- Disintegration and Bayesian inversion via string diagrams
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
This page was built for publication: Multisets and distributions, in drawing and learning