Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Abstract. In this study we used a new agent-based approach, an artificial market approach, to analyze the ways that dealers process the information in financial news. We compared b...
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
In an open system, multi-agent computations must compete for resources required for satisfying their goals. We describe CyberOrgs, a hierarchical model for acquisition and control...