Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Geographic routing is of interest for sensor networks because a point-to-point primitive is an important building block for data-centric applications. While there is a significant...
Jiangwei Zhou, Yu Chen, Ben Leong, Pratibha Sundar...
We propose the development of a prediction market to provide a form of collective intelligence for forecasting prices for "toxic assets" to be transferred from Irish bank...
This paper develops algorithms to train support vector machines when training data are distributed across different nodes, and their communication to a centralized processing unit...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
—In this paper we address the problem of scalable and load balanced routing for wireless sensor networks. Motivated by the analog of the continuous setting that geodesic routing ...