Octopus and other cephalopods are good at hiding themselves—and are inspiring cutting-edge technologies that may help us do ...

Abstract: Support Vector Machines (SVM) is one of most important algorithm in machine learning area. The choice of kernel function can have great influence on classification and approximation ability.

The identification of promising lead compounds from high-throughput screens is still a very complex problem. A new high-throughput assay for identifying aggregation-based false positives could help.

Abstract: Sleep stage dynamics can be adequately represented using Markov chain models to improve classification accuracy. The present study proposes a new post-processing method based on channel ...