This report surveys literature and research in the field of distributed artificial intelligence (DAI) and provides an overview of computer architectures particularly suited to such research. It concentrates on work to date that has involved the construction of testbeds and development tools for...

This paper presents a detailed discussion of problem formulation and data representation issues in the design, deployment, and operation of a massive-scale machine learning system for targeted display advertising. Notably, the machine learning system itself is deployed and has been in continual...

The use of the term 'Data Science' is becoming increasingly common along with 'Big Data.' What does Data Science mean? Is there something unique about it? What skills should a 'data scientist' possess to be productive in the emerging digital age characterized by a deluge of data? What are the...

The term ‘smart' and ‘strategy' are widespread but convey different notions across disciplines. Unsurprisingly, when ‘smart strategy' is applied its meanings vary with context. It is therefore instructive to look for some cross-disciplinary insights with a view to sketching a smart...

We propose the use of Kernel Regularized Least Squares (KRLS) for social science modeling and inference problems. KRLS borrows from machine learning methods designed to solve regression and classification problems without relying on linearity or additivity assumptions. The method constructs a...

This paper focuses on a number of newly proposed on-line forecast combination algorithms in Sancetta (2010), Yang (2004), and Wei and Yang (2012). We first establish certain asymptotic properties of these algorithms and compare them with the Bates and Granger (1969) method. We then show that...

Management Information Systems are meant to create methods for data management, leading to better decision making. By designing, implementing and using business information systems in innovative ways, the effectiveness and efficiency of every-day activities significantly increases. In the...

The valuation of variable annuity guarantees has been studied extensively in the past four decades. However, almost all the studies focus on the valuation of guarantees embedded in a single variable annuity contract. How to efficiently price the guarantees for a large portfolio of variable...