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» Approximate Learning of Dynamic Models
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NIPS
2008
15 years 6 months ago
Adapting to a Market Shock: Optimal Sequential Market-Making
We study the profit-maximization problem of a monopolistic market-maker who sets two-sided prices in an asset market. The sequential decision problem is hard to solve because the ...
Sanmay Das, Malik Magdon-Ismail
ACL
2000
15 years 6 months ago
Headline Generation Based on Statistical Translation
Extractive summarization techniques cannot generate document summaries shorter than a single sentence, something that is often required. An ideal summarization system would unders...
Michele Banko, Vibhu O. Mittal, Michael J. Witbroc...
ESANN
2000
15 years 6 months ago
An algorithm for the addition of time-delayed connections to recurrent neural networks
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Romuald Boné, Michel Crucianu, Jean Pierre ...
NIPS
1997
15 years 6 months ago
Generalized Prioritized Sweeping
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
David Andre, Nir Friedman, Ronald Parr
JACM
2010
208views more  JACM 2010»
15 years 3 months ago
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...