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102
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AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
137
Voted
CAV
2006
Springer
141views Hardware» more  CAV 2006»
15 years 7 months ago
SMT Techniques for Fast Predicate Abstraction
niques for Fast Predicate Abstraction Shuvendu K. Lahiri , Robert Nieuwenhuis , and Albert Oliveras Abstract. Predicate abstraction is a technique for automatically exfinite-state ...
Shuvendu K. Lahiri, Robert Nieuwenhuis, Albert Oli...
144
Voted
DELTA
2004
IEEE
15 years 7 months ago
Static Scheduling of Monoprocessor Real-Time Systems composed of Hard and Soft Tasks
In this report we address the problem of static scheduling of realtime systems that include both hard and soft tasks. We consider systems in which both hard and soft tasks are per...
Luis Alejandro Cortés, Petru Eles, Zebo Pen...
DSRT
2004
IEEE
15 years 7 months ago
HLA-Based Distributed Simulation Cloning
Distributed simulation cloning technology is designed to analyze alternative scenarios of a distributed simulation concurrently within the same execution session. The goal is to o...
Dan Chen, Stephen John Turner, Boon-Ping Gan, Went...
133
Voted
ECML
2006
Springer
15 years 7 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
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