Abstract: As an emerging direction of machine learning, multi-target domain adaptation (MTDA) aims to address the challenges of adapting models to multiple target domains. However, existing studies ...
Conditional generative adversarial networks (cGANs) have demonstrated remarkable success due to their class-wise controllability and superior quality for complex generation tasks. Typical cGANs solve ...
Abstract: This paper focuses on the “momentum” problem of a team or player in a sports match, using a hybrid Markov chain and conditional Bayesian model to capture the dynamics of the match. Firstly, ...
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