Eigenvalue problems are rampant in machine learning and statistics and appear in the context of classification, dimensionality reduction, etc. In this paper, we consider a cardina...
Bharath K. Sriperumbudur, David A. Torres, Gert R....
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This approach has opened new perspectives since it makes ...
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Abstract— Wireless sensor networks (WSNs) are energyconstrained in nature, in this paper, we formulate the problem of data transport in sensor networks as a network utility maxim...
Sequence alignment is a fundamental problem in the computational biology. Many alignment methods have been proposed in the literature, such as pair-wise sequence alignment (2SA), ...
Chun-Yuan Lin, Chen Tai Huang, Yeh-Ching Chung, Ch...