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ANNPR
2008
Springer
15 years 10 hour ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
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...
Jean-François Connolly, Eric Granger, Rober...
85
Voted
IDEAL
2000
Springer
15 years 1 months ago
Learning of Virtual Dealers in an Artificial Market: Comparison with Interview Data
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...
Kiyoshi Izumi, Kazuhiro Ueda
IJCV
2010
158views more  IJCV 2010»
14 years 8 months ago
Metric Learning for Image Alignment
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...
Minh Hoai Nguyen, Fernando De la Torre
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
15 years 10 months ago
Probabilistic author-topic models for information discovery
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...
ATAL
2004
Springer
15 years 3 months ago
Decentralized Resource Control for Multi-Agent Systems
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...
Nadeem Jamali, Indratmo, Xinghui Zhao, Gul Agha