LIBLINEAR
E1274572
UNEXPLORED
LIBLINEAR is an open-source machine learning library specialized for large-scale linear classification and regression, particularly efficient for linear SVMs and logistic regression.
All labels observed (1)
| Label | Occurrences |
|---|---|
| LIBLINEAR canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T17520695 — 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: LIBLINEAR Context triple: [Support Vector Machine, implementedIn, LIBLINEAR]
-
A.
libsvm
libsvm is a widely used open-source library that implements Support Vector Machines for classification, regression, and related machine learning tasks.
-
B.
LinearClassifier
LinearClassifier is a TensorFlow Estimator that implements a linear model for classification tasks, typically using features combined with linear weights to predict discrete labels.
-
C.
LogisticRegression
LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
-
D.
Svm
Svm is the station code used to identify Svanemøllen railway station in Copenhagen’s public transport system.
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E.
scikit-learn
scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
- 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: LIBLINEAR Target entity description: LIBLINEAR is an open-source machine learning library specialized for large-scale linear classification and regression, particularly efficient for linear SVMs and logistic regression.
-
A.
libsvm
libsvm is a widely used open-source library that implements Support Vector Machines for classification, regression, and related machine learning tasks.
-
B.
LinearClassifier
LinearClassifier is a TensorFlow Estimator that implements a linear model for classification tasks, typically using features combined with linear weights to predict discrete labels.
-
C.
LogisticRegression
LogisticRegression is a scikit-learn machine learning estimator that models the probability of class membership using a linear decision boundary with logistic (sigmoid) or related link functions.
-
D.
Svm
Svm is the station code used to identify Svanemøllen railway station in Copenhagen’s public transport system.
-
E.
scikit-learn
scikit-learn is a widely used open-source Python library that provides efficient tools for data mining, data analysis, and implementing a broad range of machine learning algorithms.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Support Vector Machines