What is recorded here?
Integrated coordinate-descent and trust-region solvers for linear support-vector and logistic models with modular C/C++ training/prediction interfaces, targeting large sparse classification data.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Reuses separately described optimization methods and LIBSVM-style interfaces; software integration is not invention of logistic regression or SVMs. Linear-model speed advantages depend on data geometry and do not imply superiority over nonlinear kernels on every task.
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People and systems
Rong-En Fan; Kai-Wei Chang; Cho-Jui Hsieh; Xiang-Rui Wang; Chih-Jen Lin
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
LIBLINEAR: scalable linear classification and solver interfaces
Integrated coordinate-descent and trust-region solvers for linear support-vector and logistic models with modular C/C++ training/prediction interfaces, targeting large sparse classification data.
Scientific scope
Reuses separately described optimization methods and LIBSVM-style interfaces; software integration is not invention of logistic regression or SVMs. Linear-model speed advantages depend on data geometry and do not imply superiority over nonlinear kernels on every task.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Rong-En Fan; Kai-Wei Chang; Cho-Jui Hsieh; Xiang-Rui Wang; Chih-Jen Lin
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.