We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Presently, Architecture Description Languages (ADLs) are widely used to raise the abstraction level of the design space exploration of Application Specific Instruction-set Proces...
Ernst Martin Witte, Anupam Chattopadhyay, Oliver S...
Designing Application-Specific Instruction-set Processors (ASIPs) usually requires designing a custom datapath, and modifying instruction-set, instruction decoder, and compiler. A...
—applying the association rule into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification approac...
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...