This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
The Subdue structural discovery system is being used as the Data Mining tool to study the "Orizaba Fault" located in Mexico, as part of a research project of the geologi...
Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Co...
Spatial associative classification takes advantage of employing association rules for spatial classification purposes. In this work, we investigate spatial associative classificati...
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...