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AAAI
2008
15 years 4 months ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
ICDE
1999
IEEE
113views Database» more  ICDE 1999»
16 years 3 months ago
Parallel Algorithms for Computing Temporal Aggregates
The ability to model the temporal dimension is essential to many applications. Furthermore, the rate of increase in database size and response time requirements has outpaced advan...
Jose Alvin G. Gendrano, Bruce C. Huang, Jim M. Rod...
WORDS
2003
IEEE
15 years 7 months ago
Middleware Support for Embedded Software with Multiple QoS Properties for Ubiquitous Computing Environments
Ubiquitous application software usually has multiple QoS requirements, such as situationawareness, real-time, and security, which make the application software development complic...
Stephen S. Yau, Yu Wang, Dazhi Huang
CVPR
2005
IEEE
16 years 4 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICML
1997
IEEE
16 years 3 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...