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» Neural Dynamics with Stochasticity
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113
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CDC
2010
IEEE
169views Control Systems» more  CDC 2010»
14 years 7 months ago
Consensus-based distributed linear filtering
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
Ion Matei, John S. Baras
80
Voted
ACRI
2004
Springer
15 years 6 months ago
Reconstructing Forest Savanna Dynamics in Africa Using a Cellular Automata Model, FORSAT
Large areas of savannas are found in Africa in climatic zones favourable to humid tropical forests: they are relicts of past dry periods and forest domains are naturally expanding....
Charly Favier, Marc A. Dubois
128
Voted
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 4 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
152
Voted
ADC
2010
Springer
214views Database» more  ADC 2010»
14 years 7 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
108
Voted
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 7 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu