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AI
2002
Springer
13 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
DAC
2006
ACM
13 years 9 months ago
A fast HW/SW FPGA-based thermal emulation framework for multi-processor system-on-chip
With the growing complexity in consumer embedded products and the improvements in process technology, Multi-Processor SystemOn-Chip (MPSoC) architectures have become widespread. T...
David Atienza, Pablo Garcia Del Valle, Giacomo Pac...
PPSN
2000
Springer
13 years 11 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
SIGIR
2012
ACM
11 years 10 months ago
TwiNER: named entity recognition in targeted twitter stream
Many private and/or public organizations have been reported to create and monitor targeted Twitter streams to collect and understand users’ opinions about the organizations. Tar...
Chenliang Li, Jianshu Weng, Qi He, Yuxia Yao, Anwi...
AAAI
2004
13 years 9 months ago
SCoT: A Spoken Conversational Tutor
We describe SCoT, a Spoken Conversational Tutor, which has been implemented in order to investigate the advantages of natural language in tutoring, especially spoken language. SCo...
Karl Schultz, Brady Clark, Heather Pon-Barry, Eliz...