Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
We present a data symmetry reduction approach for model temporal-epistemic logic. The technique abstracts the epistemic indistinguishably relation for the knowledge operators, and ...
Mika Cohen, Mads Dam, Alessio Lomuscio, Hongyang Q...
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...