PMC:4331678 / 41634-42269 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/4331678","sourcedb":"PMC","sourceid":"4331678","source_url":"https://www.ncbi.nlm.nih.gov/pmc/4331678","text":"When λ is set to a small value (i.e., λ = 10-2), a small emphasis is put on the classification task and a large stress on the kernel target alignment; as such, the results of MNet slightly deteriorate. These results also support our statement that optimizing the kernel target alignment (or composite network) does not necessarily result in the optimal composite network for classification. When λ = 1 or above, MNet has a stable performance and outperforms the other methods. This trend also justifies our motivation to unifying the kernel target alignment and the classifier on the composite network in a combined objective function.","tracks":[]}