In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
We present an algorithm for solving Diophantine equations which are linear in the variables, but non-linear in one parameter. This enables us to compute data dependences in more ge...
In most modern operating systems, a process is a -protected abstraction for isolating code and data. This protection, however, is selective. Many common mechanisms—dynamic code ...
The detection of new information in a document stream is an important component of many potential applications. In this work, a new novelty detection approach based on the identif...
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...