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» Incremental Algorithms for Approximate Compilation
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ICDE
2007
IEEE
161views Database» more  ICDE 2007»
14 years 10 months ago
Mining Colossal Frequent Patterns by Core Pattern Fusion
Extensive research for frequent-pattern mining in the past decade has brought forth a number of pattern mining algorithms that are both effective and efficient. However, the exist...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, H...
ILP
2003
Springer
14 years 1 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
CGF
1998
134views more  CGF 1998»
13 years 8 months ago
Progressive Iso-Surface Extraction from Hierarchical 3D Meshes
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
Wenli Cai, Georgios Sakas, Roberto Grosso, Thomas ...
ACSC
2008
IEEE
14 years 3 months ago
Reasoning about inherent parallelism in modern object-oriented languages
In the future, if we are to continue to expect improved application performance we will have to achieve it by exploiting course-grained hardware parallelism rather then simply rel...
Wayne Reid, Wayne Kelly, Andrew Craik
IPPS
2007
IEEE
14 years 2 months ago
Programming Distributed Memory Sytems Using OpenMP
OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approac...
Ayon Basumallik, Seung-Jai Min, Rudolf Eigenmann