In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
In this paper we use genetic programming for changing the representation of the input data for machine learners. In particular, the topic of interest here is feature construction i...
It is widely accepted that the optimal alignment between a pair of proteins or nucleic acid sequences that minimizes the edit distance may not necessarily re
ect the correct biolog...
Reticulation events occur frequently in many types of species. Therefore, to develop accurate methods for reconstructing phylogenetic networks in order to describe evolutionary his...
Trinh N. D. Huynh, Jesper Jansson, Nguyen Bao Nguy...