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» Collective Learning and Semiotic Dynamics
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ADVCS
2007
108views more  ADVCS 2007»
13 years 7 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
CN
2000
98views more  CN 2000»
13 years 7 months ago
Dynamic pricing by software agents
We envision a future in which the global economy and the Internet will merge and evolve together into an information economy bustling with billions of economically motivated softw...
Jeffrey O. Kephart, James E. Hanson, Amy R. Greenw...
JCDL
2004
ACM
89views Education» more  JCDL 2004»
14 years 23 days ago
Machine learning for information architecture in a large governmental website
This paper describes ongoing research into the application of machine learning techniques for improving access to governmental information in complex digital libraries. Under the ...
Miles Efron, Jonathan L. Elsas, Gary Marchionini, ...
AAAI
2012
11 years 9 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
PAMI
2008
179views more  PAMI 2008»
13 years 7 months ago
Modeling, Clustering, and Segmenting Video with Mixtures of Dynamic Textures
A dynamic texture is a spatio-temporal generative model for video, which represents video sequences as observations from a linear dynamical system. This work introduces the mixtur...
Antoni B. Chan, Nuno Vasconcelos