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PAKDD
2011
ACM
245views Data Mining» more  PAKDD 2011»
14 years 7 months ago
Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy M. Hospedales, Shaogang Gong, Tao Xiang
RTSS
2003
IEEE
15 years 10 months ago
Data Caches in Multitasking Hard Real-Time Systems
Data caches are essential in modern processors, bridging the widening gap between main memory and processor speeds. However, they yield very complex performance models, which make...
Xavier Vera, Björn Lisper, Jingling Xue
VLDB
2002
ACM
184views Database» more  VLDB 2002»
16 years 4 months ago
Database indexing for large DNA and protein sequence collections
Our aim is to develop new database technologies for the approximate matching of unstructured string data using indexes. We explore the potential of the suffix tree data structure i...
Ela Hunt, Malcolm P. Atkinson, Robert W. Irving
RTCSA
2009
IEEE
15 years 11 months ago
Bounding the Maximum Length of Non-preemptive Regions under Fixed Priority Scheduling
The question whether preemptive systems are better than non-preemptive systems has been debated for a long time, but only partial answers have been provided in the real-time liter...
Gang Yao, Giorgio C. Buttazzo, Marko Bertogna
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 8 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