We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
- This paper presents a novel approach for fast transient analysis of buffered hybrid structured clock networks. The new method applies structure reduction and relaxed hierarchical...
Yi Zou, Qiang Zhou, Yici Cai, Xianlong Hong, Sheld...
Abstract. For several reasons enterprises are frequently subject to organizational change. Respective adaptations may concern business processes, but also other components of an en...
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
The contemporary high-speed networks, e.g. the Internet and asynchronous transfer mode (ATM) networks provide a convenient and cost-effective communication platform to carry the e...