This report is the third installment from Ericsson ConsumerLab investigating matters of user privacy, integrity and security online.
The latest interim update to the Ericsson Mobility Report highlights the continued rapid growth of smartphones and connectivity.
Across domains, many machine learning problems involve data which naturally comprises multiple views. Multi-view Learning is a machine learning technique that can utilize multiple views. Here we focus on co-training style multi-view learning algorithm under semi-supervised conditions which leverages both labeled and unlabeled data. In many domains, amount of (unlabeled) data available is very huge in size, which makes it impossible to learn serially in a single machine. In this work, we study various distributed multi-view learning using both consensus and complementary principles. We also propose an efficient computational design on Hadoop for learning multiple classifiers.
Ericsson ConsumerLab has identified some of the most important consumer trends for 2014 and beyond.
Ericsson has released its first regional consumer insight report focusing on trends and analysis of the mobile ecosystem in Sub-Saharan Africa.
Working life is changing for millions of people around the world. The great increase in connectivity is the starting point for new ways of innovating, collaborating and socializing. Our study implies that the behaviors of the next generation will dramatically transform working life.
The fourth edition ranks Stockholm, London and Singapore as top three cities and shows ICT can be an effective way of supporting sustainable development.
Johan Wibergh, Executive Vice President and Head of Business Unit Networks, discusses the latest Mobility Report and key findings.