Abstract: Robotic systems are highly complex, and debugging failures in them can prove challenging. We propose a technique for using multivariate decision trees to create human interpretable ...
By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
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