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» Computer science and decision theory
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98
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FOCS
2009
IEEE
14 years 10 months ago
Learning and Smoothed Analysis
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
112
Voted
ECTEL
2009
Springer
15 years 4 months ago
The Influence of Coalition Formation on Idea Selection in Dispersed Teams: A Game Theoretic Approach
In an open innovation environment, organizational learning takes place by means of dispersed teams which expand their knowledge through collaborative idea generation. Research is o...
Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...
ATAL
2010
Springer
15 years 1 months ago
Risk-sensitive planning in partially observable environments
Partially Observable Markov Decision Process (POMDP) is a popular framework for planning under uncertainty in partially observable domains. Yet, the POMDP model is riskneutral in ...
Janusz Marecki, Pradeep Varakantham
65
Voted
IFIP
1994
Springer
15 years 4 months ago
E-mail as an Enabling Technology in Brazil: The CNPq/ProTeM-CC Experience
Development of a research project in Computer Science, integrating a considerable number of research institutions and about 1200 individual researchers all over a country with big...
José Palazzo M. de Oliveira, Norberto Hoppe...
GRID
2004
Springer
15 years 6 months ago
Flexible Control of Data Transfers between Parallel Programs
Allowing loose coupling between complex e-Science applications has many advantages, such as being able to easily incorporate new applications and to flexibly specify how the appl...
Joe Shang-Chieh Wu, Alan Sussman