With the increasing capabilities of hardware for 3D graphics and network, 3D multi-user environments get more and more interesting for e-business, entertainment and cooperative wo...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
This paper introduced GP-Soft, a powerful new patient management system, which is designed to improve the records management for clinic, nursing home and hospital. GP-Soft is a co...