The prevalence of neurodegenerative diseases (NDD) has grown rapidly in recent years
and NDD screening receives much attention. NDD could cause gait abnormalities so that to …

A variety of applications, such as information extraction, intrusion detection and protein fold
recognition, can be expressed as sequences of discrete events or elements (rather than …

Advances in high-throughput techniques lead to evolving a large number of unknown
protein sequences (UPS). Functional characterization of UPS is significant for the …

The field of machine learning provides useful means and tools for finding accurate solutions
to complex and challenging biological problems. In recent years a class of learning …

Background A large number of computational methods have been proposed for predicting
protein functions. The underlying techniques adopted by most of these methods revolve …

Genetic algorithm (GA) based feature selection method is an evolving search heuristic, used
to provide solutions to optimization problems. Feature selection is an important aspect that …

Abstract Although Inductive Logic Programming (ILP)-based concept discovery systems
have applications in a wide range of domains, they still suffer from scalability and efficiency …

Rich representation inherited from computational logic makes logic-based machine learning
a competent method for application domains involving relational background knowledge …

Recent computational methods take advantage of the exponential explosion of biomedical
literatures to predict protein functions. They do so by extracting information from the …

Concept discovery is the problem of finding definitions of target relation in terms or other
relation given as a background knowledge. Inductive Logic Programming (ILP)-based and …