Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Stochastic context-free grammars (SCFGs) have long been recognized as useful for a large variety of tasks including natural language processing, morphological parsing, speech reco...
Our VLSI neuromorphs, possess extensive dendritic trees with hundreds of excitatory and inhibitory synaptic sites. Useful signal processing can be achieved by evolving the appropr...
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
In this paper, we propose a new layout algorithm that draws the secondary structure of a Ribonucleic Acid (RNA) automatically according to some of the biologists' aesthetic c...
David Auber, Maylis Delest, Jean-Philippe Domenger...