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ATAL
2010
Springer
13 years 9 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
NIPS
1997
13 years 9 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
EDOC
2004
IEEE
13 years 11 months ago
A Framework for Integrating Business Processes and Business Requirements
Service-oriented architectures and Web service infrastructure provide the ideal framework for interconnecting organizations and for defining distributed business applications. The...
Raman Kazhamiakin, Marco Pistore, Marco Roveri
EUROPAR
2011
Springer
12 years 7 months ago
A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures
: Tuning numerical libraries has become more difficult over time, as systems get more sophisticated. In particular, modern multicore machines make the behaviour of algorithms hard ...
Emmanuel Agullo, Jack Dongarra, Rajib Nath, Stanim...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...