Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
: We identify that typical programs exhibit highly regular read-after-read (RAR) memory dependence streams. We exploit this regularity by introducing read-after-read (RAR) memory d...
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Caches play an important role in embedded systems by bridging the performance gap between high speed processors and slow memory. At the same time, caches introduce imprecision in ...
In bacterium, genes working in the same pathway or interacting with each other are often organized into operons. Currently, the prediction accuracy for operon/boundary gene pairs ...