A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Constructing scalable high-performance applications on commodity hardware running the Unix operating system is a problem that must be addressed in several application domains. We ...
High performance computing is becoming increasingly important in the field of financial computing, as the complexity of financial models continues to increase. Many of these financ...
As the adoption of grid computing in organizations expands, the need for wise utilization of different types of resources also increases. A volatile resource, such as a desktop co...