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SGAI
2007
Springer
13 years 10 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
CODES
2005
IEEE
13 years 10 months ago
DVS for buffer-constrained architectures with predictable QoS-energy tradeoffs
We present a new scheme for dynamic voltage and frequency scaling (DVS) for processing multimedia streams on architectures with restricted buffer sizes. The main advantage of our ...
Alexander Maxiaguine, Samarjit Chakraborty, Lothar...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
ISLPED
2004
ACM
139views Hardware» more  ISLPED 2004»
13 years 9 months ago
Eliminating voltage emergencies via microarchitectural voltage control feedback and dynamic optimization
Microprocessor designers use techniques such as clock gating to reduce power dissipation. An unfortunate side-effect of these techniques is the processor current fluctuations th...
Kim M. Hazelwood, David Brooks