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» A Technique for Large Automated Mechanism Design Problems
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EDBT
2002
ACM
132views Database» more  EDBT 2002»
15 years 12 months ago
A Framework for the Physical Design Problem for Data Synopses
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
Arnd Christian König, Gerhard Weikum
CADE
2008
Springer
16 years 4 days ago
MaLARea SG1- Machine Learner for Automated Reasoning with Semantic Guidance
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Geoff Sutcliffe, Jirí Vyskocil, Josef Urban...
CORR
2002
Springer
156views Education» more  CORR 2002»
14 years 11 months ago
Mapping the Gnutella Network: Properties of Large-Scale Peer-to-Peer Systems and Implications for System Design
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Matei Ripeanu, Ian T. Foster, Adriana Iamnitchi
SAB
2010
Springer
189views Optimization» more  SAB 2010»
14 years 9 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
WEA
2005
Springer
176views Algorithms» more  WEA 2005»
15 years 5 months ago
High-Performance Algorithm Engineering for Large-Scale Graph Problems and Computational Biology
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
David A. Bader