Algorithms for Large Scale Markov Blanket Discovery.¶
Tsamardinos, I., Aliferis, C. F., & Statnikov, A. (2003). Algorithms for Large Scale Markov Blanket Discovery. Proceedings of the 16th International FLAIRS Conference, 376-380.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Markov Blanket
- In machine-learning feature selection and causal discovery, a target's blanket is the smallest sufficient feature set — adding outside features cannot improve predictions, removing blanket features must hurt them — which algorithms like IAMB and MMMB operationalize.
This sourcePresents IAMB and related algorithms identifying a target's Markov blanket as its smallest sufficient feature set for classification and causal discovery.
Supported in partVerified against the publisher's abstract
Abstract: new algorithms for finding a target variable's Markov blanket, usable for variable selection for classification and causal discovery — the claim's frame, but not its 'smallest sufficient set' clause or the IAMB/MMMB names.
“This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection for classification, for causal discovery, and for Bayesian Network learning.”
- In machine-learning feature selection and causal discovery, a target's blanket is the smallest sufficient feature set — adding outside features cannot improve predictions, removing blanket features must hurt them — which algorithms like IAMB and MMMB operationalize.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Read against the text for 1 of 1 citation: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:171eefd3cc24 · see in the full table