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» Inferring Mixtures of Markov Chains
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ECCV
2000
Springer
15 years 6 months ago
How Does CONDENSATION Behave with a Finite Number of Samples?
Abstract. Condensation is a popular algorithm for sequential inference that resamples a sampled representation of the posterior. The algorithm is known to be asymptotically correct...
Oliver D. King, David A. Forsyth
118
Voted
TOIS
2010
128views more  TOIS 2010»
15 years 6 days ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
TCOM
2010
133views more  TCOM 2010»
15 years 6 days ago
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies
Abstract——This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
J. Huang, V. Krishnamurthy
NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 7 days ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
113
Voted
SIGIR
2005
ACM
15 years 7 months ago
Combining eye movements and collaborative filtering for proactive information retrieval
We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, ...
Kai Puolamäki, Jarkko Salojärvi, Eerika ...