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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 10 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 10 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
MICCAI
2000
Springer
15 years 10 months ago
Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation
We developed a software tool for pre-operative simulation and planning, and intra-operative guidance, of minimally invasive tumor ablation, including radiofrequency-, laser- and cr...
Torsten Butz, Simon K. Warfield, Kemal Tuncali, St...
SPIN
2000
Springer
15 years 10 months ago
Using Runtime Analysis to Guide Model Checking of Java Programs
This paper describes how two runtime analysis algorithms, an existing data race detection algorithm and a new deadlock detection algorithm, have been implemented to analyze Java pr...
Klaus Havelund
RTCSA
1995
IEEE
15 years 10 months ago
A soft aperiodic task scheduling algorithm in dynamic-priority systems
In this paper, we present a joint scheduling of hard deadline periodic and soft deadline aperiodic tasks in dynamic-priority systems. The proposed algorithm has extended the fixed...
Sungyoung Lee, Hyungill Kim, Jongwon Lee