The latest release of Apache Kafka delivers the queue-like consumption semantics of point-to-point messaging. Here’s the how, ...
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Abstract: Ordinal input variables are common in many supervised and unsupervised machine learning problems. We focus on ordinal classification problems, where the target variable is also categorical ...
Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
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