Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
In order to map the spectral characteristics of the large variety of sounds a musical instrument may produce, different notes were performed and sampled in several intensity level...
Mauricio A. Loureiro, Hugo B. De Paula, Hani C. Ye...
This paper proposes an efficient relevance feedback based interactive model for keyword generation in sponsored search advertising. We formulate the ranking of relevant terms as a...
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...
Many data mining applications can benefit from adapting existing classifiers to new data with shifted distributions. In this paper, we present Adaptive Support Vector Machine (Ada...