Abstract. A novel framework for the design and analysis of energy-aware algorithms is presented, centered around a deterministic Bit-level (Boltzmann) Random Access Machine or BRAM...
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
Unlike machines, we humans are prone to boredom when we perform routine activities for long periods of time. Workers’ mental engagement in boring tasks diminishes, which eventua...
Dvijesh Shastri, Yuichi Fujiki, Ross Buffington, P...
A virtual duplex system (VDS) can be used to increase safety without the use of structural redundancy on a single machine. If a deterministic program P is calculating a given func...
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...