Absenteeism
发表于 2025-3-23 13:18:54
John Clement,Aletta Zietsman,James Monaghan introduce a novel Parallel Recursive Deep Model (PRDM) for predicting sentiment label distributions. The main trait of our model is to not only use the composition units, i.e., the vector of word, phrase and sentiment label with them, but also exploit the information encoded among the structure of
使虚弱
发表于 2025-3-23 15:51:54
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颠簸下上
发表于 2025-3-23 20:06:31
Kathy Takayaman some limited query budget. We point out the similarity between interactive verification and another machine learning problem called contextual bandit. The similarity allows us to design interactive verification approaches from existing contextual bandit approaches. We compare the performance of th
SAGE
发表于 2025-3-23 23:59:02
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美学
发表于 2025-3-24 04:28:00
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Functional
发表于 2025-3-24 08:48:02
Joel Russell,Robert Kozma stream is very challenging as the heterogeneous graph streams imply complex topological and temporal correlations of knowledge facts, as well as fast dynamic incoming rates and statistical pattern changes over time. We present our approach with two major components: a Count-Fading sketch and an onl
Indelible
发表于 2025-3-24 11:54:10
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含铁
发表于 2025-3-24 15:38:23
implications, subsumptions or exclusions in a human-comprehensible and interpretable manner. However, the induction of rules with multiple labels in the head is particularly challenging, as the number of label combinations which must be taken into account for each rule grows exponentially with the
Reservation
发表于 2025-3-24 21:24:55
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华而不实
发表于 2025-3-25 00:17:39
Kathy Takayamafor the contextual bandit, to solve the interactive verification problem. Experiment results demonstrate that UCB reaches superior performance for interactive verification on many real-world datasets.