In high-performance computer systems, performance losses due to conditional branch instructions can be minimized by predicting a branch outcome and fetching, decoding, and/or issu...
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Nowadays, wireless sensor networks have been widely used in many monitoring applications. Due to the low quality of sensors and random effects of the environment, however, it is ...
Yongzhen Zhuang, Lei Chen 0002, Xiaoyang Sean Wang...
Information integration is often faced with the problem that different data sources represent the same set of the real-world objects, but give conflicting values for specific prop...
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...