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ICML
2000
IEEE
14 years 7 days ago
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Thomas R. Shultz, François Rivest
NAACL
2007
13 years 9 months ago
Joint Versus Independent Phonological Feature Models within CRF Phone Recognition
We compare the effect of joint modeling of phonological features to independent feature detectors in a Conditional Random Fields framework. Joint modeling of features is achieved ...
Ilana Bromberg, Jeremy Morris, Eric Fosler-Lussier
IJBC
2006
65views more  IJBC 2006»
13 years 7 months ago
Noise-Sensitivity in Machine Tool Vibrations
We consider the effect of random variation in the material parameters in a model for machine tool vibrations, specifically regenerative chatter. We show that fluctuations in these...
E. Buckwar, R. Kuske, B. L'esperance, T. Soo
ISQED
2009
IEEE
70views Hardware» more  ISQED 2009»
14 years 2 months ago
On-chip transistor characterization arrays with digital interfaces for variability characterization
An on-chip test-and-measurement system with digital interfaces that can perform device-level characterization of large-dense arrays of transistors is demonstrated in 90- and 65-nm...
Simeon Realov, William McLaughlin, Kenneth L. Shep...
ICASSP
2008
IEEE
14 years 2 months ago
Subspace compressive detection for sparse signals
The emerging theory of compressed sensing (CS) provides a universal signal detection approach for sparse signals at sub-Nyquist sampling rates. A small number of random projection...
Zhongmin Wang, Gonzalo R. Arce, Brian M. Sadler