A Hybrid Tsallis-Polarization Impurity Measure for Decision Trees: Theoretical Foundations and Empirical Evaluation
arXiv 2603.13241•6d2780872ea03a4689f1da54ffb8f549fe313a1434898186b842b3ce1980ca94
Bayesian-optimizationGramian-differentialsHISKalman-filterLLM-safetyTsallis-entropyarxivasynchronous-BOautomatic-differentiationdecision-treesdiffusion-modelsfraud-detectionhuman-AI-collaborationimpurity-measuresinformation-geometrymachine-learningqPCAquantum-machine-learningrobust-statisticssparse-PCA','SP-SPCA'statisticssynthetic-datatrackingtransformersvector-symbolic-architectures
Paper metadata
- arXiv ID
- 2603.13241
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 6d2780872ea03a4689f1da54ffb8f549fe313a1434898186b842b3ce1980ca94
- Enrichment time
- 2026-03-17T07:23:55Z
- AI-assisted enrichment
- Yes
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