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» Collective Learning and Semiotic Dynamics
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SPIESR
2001
160views Database» more  SPIESR 2001»
13 years 6 months ago
New frontiers for intelligent content-based retrieval
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
Ana B. Benitez, John R. Smith
ADC
2010
Springer
214views Database» more  ADC 2010»
12 years 12 months ago
Building a dynamic classifier for large text data collections
Due to the lack of in-built tools to navigate the web, people have to use external solutions to find information. The most popular of these are search engines and web directories....
Pavel Kalinov, Bela Stantic, Abdul Sattar
SARA
2007
Springer
13 years 11 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ACMSE
2005
ACM
13 years 10 months ago
Acquiring and delivering lessons learned for NASA scientists and engineers: a dynamic approach
Web forms are a common mechanism for collecting information online. They pose some limitations which negatively affect ease and flexibility of user interaction. These limitations ...
Swapna Gupta, J. Scott Hawker, Randy K. Smith
ATAL
2006
Springer
13 years 8 months ago
Convergence analysis for collective vocabulary development
We study how decentralized agents can develop a shared vocabulary without global coordination. Answering this question can help us understand the emergence of many communication s...
Jun Wang, Les Gasser, Jim Houk