Abstract: In this paper we present a new methodology for robot learning that combines ideas from statistical generalization and reinforcement learning. First we apply statistical generalization to ...

Statistical approaches to emergent knowledge have tended to focus on the process by which experience of individual episodes accumulates into generalizable experience across episodes. However, there is ...

Statistical mechanics is one of the pillars of modern physics. Ludwig Boltzmann (1844-1906) and Josiah Willard Gibbs (1839-1903) were its primary formulators. They both worked to establish a bridge ...

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With recent advances in sequencing, genotyping arrays, and imputation, GWAS now aim to identify associations with rare and uncommon genetic variants. Here, we describe and evaluate a class of ...

For instance, statistical mechanics predicts the divergence of certain thermodynamic quantities at critical points, which is not observed experimentally. This has led to the development of the ...

Abstract: Data sets containing private information about individuals must satisfy privacy standards before being publicly released. One such standard, k-anonymity, reduces the probability of the ...