JMLR
E736215
JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| JMLR canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8483065 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JMLR Context triple: [Nal Kalchbrenner, hasPublishedIn, JMLR]
-
A.
ICML
ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
-
B.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
C.
NIPS
NIPS is the acronym for the Northern Ireland Prison Service, the government agency responsible for managing prisons and overseeing the custody and rehabilitation of offenders in Northern Ireland.
-
D.
International Machine Learning Society
The International Machine Learning Society is a professional organization that oversees and supports the International Conference on Machine Learning (ICML) and related activities in the machine learning research community.
-
E.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JMLR Target entity description: JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
-
A.
ICML
ICML (International Conference on Machine Learning) is one of the premier global academic conferences focused on research in machine learning and related fields.
-
B.
NeurIPS
NeurIPS is a premier international conference focused on advances in machine learning, artificial intelligence, and computational neuroscience.
-
C.
NIPS
NIPS is the acronym for the Northern Ireland Prison Service, the government agency responsible for managing prisons and overseeing the custody and rehabilitation of offenders in Northern Ireland.
-
D.
International Machine Learning Society
The International Machine Learning Society is a professional organization that oversees and supports the International Conference on Machine Learning (ICML) and related activities in the machine learning research community.
-
E.
ACM Transactions on Data Science
ACM Transactions on Data Science is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data science, including theory, methods, and applications.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
scientific journal ⓘ |
| abbreviation | JMLR NERFINISHED ⓘ |
| accessModel | open access ⓘ |
| discipline |
artificial intelligence
ⓘ
machine learning ⓘ statistics ⓘ |
| field |
artificial intelligence
ⓘ
computer science ⓘ machine learning ⓘ |
| focusesOn |
applied machine learning
ⓘ
deep learning ⓘ kernel methods ⓘ large-scale learning ⓘ learning theory ⓘ machine learning research ⓘ neural networks ⓘ optimization for machine learning ⓘ probabilistic modeling ⓘ reinforcement learning ⓘ semi-supervised learning ⓘ statistical learning ⓘ structured prediction ⓘ supervised learning ⓘ theoretical machine learning ⓘ unsupervised learning ⓘ |
| fullName | Journal of Machine Learning Research NERFINISHED ⓘ |
| hasAbbreviation | JMLR NERFINISHED ⓘ |
| hasArticleType |
algorithm description
ⓘ
research article ⓘ software paper ⓘ survey article ⓘ theoretical paper ⓘ |
| hasAudience |
academics in artificial intelligence
ⓘ
graduate students in machine learning ⓘ industry researchers in AI ⓘ researchers in machine learning ⓘ |
| hasFormat | electronic journal ⓘ |
| language | English ⓘ |
| peerReviewed | true ⓘ |
| publishingModel | online-only ⓘ |
| topic |
computational statistics
ⓘ
cutting-edge research in machine learning ⓘ data mining ⓘ methods for learning from data ⓘ probabilistic inference ⓘ statistical pattern recognition ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: JMLR Description of subject: JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.