Abstract: Markov chains are simple yet powerful mathematical structures to model temporally dependent processes. They generally assume stationary data, i.e., fixed transition probabilities between ...
Abstract: In our daily lives, emotions are extremely important. However, predicting and regulating emotion is still a critical problem to be solved in the research of the human-computer interaction ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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