Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Mapping of applications on a Multiprocessor System-on-Chip (MP-SoC) is a crucial step to optimize performance, energy and memory constraints at the same time. The problem is formu...
Heikki Orsila, Tero Kangas, Erno Salminen, Timo D....
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Providing scalable database services is an essential requirement for extending many existing applications of the Cloud platform. Due to the diversity of applications, database ser...
Jinbao Wang, Sai Wu, Hong Gao, Jianzhong Li, Beng ...
With the growing number of marketplaces and trading partners in the e–commerce environment, software tools designed to act on behalf of human traders are increasingly used to au...
Yain-Whar Si, David Edmond, Arthur H. M. ter Hofst...