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» Variability in Automation System Models
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JMLR
2006
169views more  JMLR 2006»
15 years 2 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
DAC
2006
ACM
16 years 3 months ago
Prototyping a fault-tolerant multiprocessor SoC with run-time fault recovery
Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high-performance ICs. The advent o...
Xinping Zhu, Wei Qin
143
Voted
ACSAC
2002
IEEE
15 years 7 months ago
Access Control for Active Spaces
Active Spaces are physical spaces augmented with heterogeneous computing and communication devices along with supporting software infrastructure. This integration facilitates coll...
Geetanjali Sampemane, Prasad Naldurg, Roy H. Campb...
124
Voted
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
16 years 2 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
132
Voted
SSDBM
2008
IEEE
149views Database» more  SSDBM 2008»
15 years 8 months ago
Query Planning for Searching Inter-dependent Deep-Web Databases
Increasingly, many data sources appear as online databases, hidden behind query forms, thus forming what is referred to as the deep web. It is desirable to have systems that can pr...
Fan Wang, Gagan Agrawal, Ruoming Jin