This paper addresses the issue of text normalization, an important yet often overlooked problem in natural language processing. By text normalization, we mean converting ‘inform...
Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tieju...
Temporal Constraint Satisfaction Problems (TCSP) is a well known approach for representing and processing temporal knowledge. Important properties of the knowledge can be inferred...
We propose a method that detects the true direction of time series, by fitting an autoregressive moving average model to the data. Whenever the noise is independent of the previou...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...