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» Parameterized Learning Complexity
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SELMAS
2004
Springer
15 years 8 months ago
Aspectizing Multi-agent Systems: From Architecture to Implementation
Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
Alessandro F. Garcia, Uirá Kulesza, Carlos ...
AGILEDC
2003
IEEE
15 years 8 months ago
Agile Development in the old economy
As part of the delivery an automated hub for a postal operator, the Solystic company has to build a complex and feature rich Information System that supports a highly automated pr...
Géry Derbier
HICSS
2003
IEEE
152views Biometrics» more  HICSS 2003»
15 years 8 months ago
Advanced Technology and Knowledge Transfer
This paper reports on a specific food and agribusiness industry project, employing new technological capabilities to better transfer expert knowledge. Knowledge transfer and techn...
Geetanjali Tandon, Steven T. Sonka
ICDAR
2003
IEEE
15 years 8 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 8 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles