Hidden Markov model
Model Families AIMech:HiddenMarkovModel DRAFT
Aliases: HMM
A sequence model whose hidden Markov states generate observations through state-dependent emission distributions.
Identity Notes & Concept Scope
ProbabilisticGraphicalModel does not specify Markov hidden states and observation emissions.
Claims & Grounded Evidence
1 Claim
Mechanism
#mechanism
The current hidden state depends on the previous state, and an observation is generated from the current state emission distribution.
⚠️ Curated Limitations & Negative Results
- This record supports method identity and the stated mechanism only; no universal performance or biological efficacy claim is curated.
- Proposed placement is an inference from the existing AIO hierarchy; maintainers must resolve task, algorithm and model scope before acceptance.
Artificial Intelligence Ontology (AIO) Grounding
Mapped AIO Classes
| AIO Target Class | Mapping Relation | Mapping Rationale |
|---|---|---|
AIO:ProbabilisticGraphicalModel
Probabilistic Graphical Model
|
related_match | ProbabilisticGraphicalModel does not specify Markov hidden states and observation emissions. Mapping is local curation, not an upstream subclass assertion. |
Evidence Sources & Primary Literature
1 Source| Source ID | Publication / Document | Type / Access | Reference & Checksum |
|---|---|---|---|
method-source
|
hmmlearn contributors
|
official documentation
documentation
|
Curation Provenance
Curator: Codex
Method: ai_assisted
Model: GPT-6
Created: 2026-10-11T03:01:34Z
Updated: 2026-10-11T03:01:34Z
Source File:
data/curated/HiddenMarkovModel.yaml