Abstract: Deep reinforcement learning has significant advantages in the field of robot skill learning, however it usually cannot make good use of experience. In this letter, a Bi-phase Episodic Memory ...

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Abstract: Time series with missing values (incomplete time series) are ubiquitous in real life on account of noise or malfunctioning sensors. Time-series imputation (replacing missing data) remains a ...

Three studies examined how the perception that one’s attitudes are based in values affects attitude clarity and correctness. Specifically, perceiving that one’s attitude is based in important values ...

Obtaining information from the world is important for survival. The brain, therefore, has special mechanisms to extract as much information as possible from sensory stimuli. Hence, given its ...

We describe factored spectrally transformed linear mixed models (FaST-LMM), an algorithm for genome-wide association studies (GWAS) that scales linearly with cohort size in both run time and memory ...