Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
Starting from a graphical data model (a subset of the OMT object model), a skeleton of formal specification can be generated and completed to express several constraints and provi...
: The evolution of software systems often produces incompatibilities with existing data and applications. To prevent incompatibilities, changes have to be wellplanned, and develope...
We present a cognitive model that bridges work in analogy and category learning. The model, Building Relations through Instance Driven Gradient Error Shifting (BRIDGES), extends A...
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
Benjamin Stewart, Jonathan Ko, Dieter Fox, Kurt Ko...