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cs.LG2025
Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing
Connor Cooper, Geoffrey I. Webb, Daniel F. Schmidt
Bayesian network classifiers (BNCs) possess a number of properties desirable for a modern classifier: They are easily interpretable, highly scalable, and offer adaptable complexity…
cs.LG2025
MONSTER: Monash Scalable Time Series Evaluation Repository
Angus Dempster, Navid Mohammadi Foumani, Chang Wei Tan +6
We introduce MONSTER-the MONash Scalable Time Series Evaluation Repository-a collection of large datasets for time series classification. The field of time series classification ha…