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Found 3 papers, 1 papers with code
Personality Assessment from Text for Machine Commonsense Reasoning
Our analysis of data collected with 300 participants demonstrate that PerSense predicts answers to commonsense questions with 82. 3% accuracy using a Random Forest classifier.
Mindful Active Learning
This capacity constraint is manifested not only in the number of queries that a person can respond to in a given time-frame but also in the lag between the time that a query is made and when it is responded to.
Resource-Efficient Computing in Wearable Systems
We propose two optimization techniques to minimize memory usage and computation while meeting system timing constraints for real-time classification in wearable systems.
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