The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
Network coordinates provide a scalable way to estimate latencies among large numbers of hosts. While there are several algorithms for producing coordinates, none account for the f...
Jonathan Ledlie, Peter R. Pietzuch, Margo I. Seltz...
The rapid e-commerce growth has made both business community and customers face a new situation. Due to intense competition on the one hand and the customer's option to choose...