Temporal sampling forest (TS - F): an ensemble temporal learner

Abstract

Ensemble learning is in favour of machine learning community due to its tolerance in handling divergence and biasness issues faced by a single learner. In this work, an ensemble temporal learner, namely temporal sampling forest (TS-F), is proposed. Building on the random forest, we consider its limitations in handling temporal classification tasks. Temporal… (More)
DOI: 10.1007/s00500-016-2242-7

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