Approximation Trade-Offs in a Markovian Stream Warehouse : An Empirical Study UW TR : # UW-CSE-09-0703

A large amount of the world’s data is both sequential and low-level. Many applications need to query higher-level information (e.g., words and sentences) that is inferred from these low-level sequences (e.g., raw audio signals) using a model (e.g., a hidden Markov model). This inference process is typically statistical, resulting in high-level sequences… CONTINUE READING