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» Learning Abstraction Hierarchies for Problem Solving
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ECAI
2006
Springer
15 years 1 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
CSSE
2008
IEEE
14 years 11 months ago
JThreadSpy: A Tool for Improving the Effectiveness of Concurrent System Teaching and Learning
Both teaching and learning multithreaded ing are complex tasks, due to the abstraction of the concepts, the non-determinism of the scheduler, the impossibility of using classical s...
Giovanni Malnati, Caterina Maria Cuva, Claudia Bar...
CORR
2010
Springer
153views Education» more  CORR 2010»
14 years 9 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
ICSE
2009
IEEE-ACM
15 years 4 months ago
Software Engineering for the Next Internet
The Internet no longer meets the world’s requirements. Recognition of the Internet architecture’s inherent flaws has opened a window of opportunity for fresh thinking: granti...
Pamela Zave
CORR
2010
Springer
123views Education» more  CORR 2010»
14 years 8 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...