Abstract. Partial parsing techniques try to recover syntactic information efficiently and reliably by sacrificing completeness and depth of analysis. One of the difficulties of pa...
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
In this study, we seek to develop a predictive model for finding the strength of binding between a particular transcription factor (TF) variant and a particular DNA target variant...
Abstract. Inductive Logic Programming (ILP) has been applied to discover rules governing the three-dimensional topology of protein structure. The data-set unifies two sources of in...
Marcel Turcotte, Stephen Muggleton, Michael J. E. ...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...