It is not an easy task to know a priori the most appropriate fuzzy sets that cover the domains of quantitative attributes for fuzzy association rules mining. In general, it is unre...
New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. As outlined in [1], the gene...
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
— Cycle-accurate functional descriptions (CAFDs) are being widely adopted in integrated circuit (IC) design flows. Power estimation can potentially benefit from the inherent in...
Lin Zhong, Srivaths Ravi, Anand Raghunathan, Niraj...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...