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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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2 results for “soft-confusion-matrix”

Bayes metaclassifier and Soft-confusion-matrix classifier in the task of multi-label classificationcs.LG

Paper compares two multi-label classification methods: Bayes metaclassifier and soft-confusion-matrix.

problem Comparing multi-label classification methods under the same framework.

method Bayes metaclassifier combined with problem-transformation approach, and soft-confusion-matrix classifier.

result Both methods perform similarly, but statistical analysis provides insights.

multi-label classification Bayes metaclassifier soft-confusion-matrix randomized reference classifier benchmark datasets

2019-01-25abs ↗pdf ↗

Randomized Reference Classifier with Gaussian Distribution and Soft Confusion Matrix Applied to the Improving Weak Classifierscs.LG

Paper proposes using truncated normal distribution for RRC model, improving detection of minority classes.

problem Improving weak classifiers in RRC models.

method Proposes using truncated normal distribution and soft confusion matrix for RRC model.

result Truncated-normal-based SCM algorithm outperforms beta distribution in discovering minority classes.

RRC model truncated normal distribution soft confusion matrix weak classifiers minority class detection

2019-05-23abs ↗pdf ↗