We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
We extend the "Sparse LDA" algorithm of [7] with new sparsity bounds on 2-class separability and efficient partitioned matrix inverse techniques leading to 1000-fold spe...
SQL in the IBM® DB2® Universal Database™ for Linux®, UNIX®, and Windows® (DB2 UDB) database management product has been extended to support nested INSERT, UPDATE, and DELET...
This paper presents a method and a tool for building trustable OO components. The methodology is based on an integrated design and test approach for OO software components. It is ...
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...