The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
This article presents experiences in the automation of a testing process. The main goal is the unified testing of not only one program, but a whole family of programs. The family ...
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
We are developing a computer system which provides information about babies in neonatal intensive care to family members and friends. A key challenge is deciding what information ...
— Hannenhalli and Pevzner developed the first polynomial-time algorithm for the combinatorial problem of sorting of signed genomic data. Their algorithm solves the minimum numbe...