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IJON
2002
123views more  IJON 2002»
15 years 5 months ago
N-bit parity neural networks: new solutions based on linear programming
In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer. The activation function used i...
Derong Liu, Myron E. Hohil, Stanley H. Smith
ICASSP
2011
IEEE
14 years 9 months ago
Discriminatively trained Probabilistic Linear Discriminant Analysis for speaker verification
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the s...
Lukas Burget, Oldrich Plchot, Sandro Cumani, Ondre...
ESANN
2004
15 years 6 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom
147
Voted
DATE
2007
IEEE
134views Hardware» more  DATE 2007»
15 years 12 months ago
Accurate temperature-dependent integrated circuit leakage power estimation is easy
— It has been the conventional assumption that, due to the superlinear dependence of leakage power consumption on temperature, and widely varying on-chip temperature profiles, a...
Yongpan Liu, Robert P. Dick, Li Shang, Huazhong Ya...
ISLPED
2003
ACM
142views Hardware» more  ISLPED 2003»
15 years 10 months ago
Minimization of dynamic and static power through joint assignment of threshold voltages and sizing optimization
We describe an optimization strategy for minimizing total power consumption using dual threshold voltage (Vth) technology. Significant power savings are possible by simultaneous a...
David Nguyen, Abhijit Davare, Michael Orshansky, D...