Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and bei...
Tarik Saidani, Joel Falcou, Claude Tadonki, Lionel...
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Machine learning and statistical methods have yielded impressive results in a wide variety of natural language processing tasks. These advances have generally been regarded as eng...
We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show ...
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...