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ML
2011
ACM
179views Machine Learning» more  ML 2011»
15 years 2 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
JMLR
2010
139views more  JMLR 2010»
15 years 2 months ago
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
Guillaume Desjardins, Aaron C. Courville, Yoshua B...
VLSID
2002
IEEE
74views VLSI» more  VLSID 2002»
16 years 7 months ago
Interconnect Energy Dissipation in High-Speed ULSI Circuits
- This work presents accurate closed-form expressions for the interconnect energy dissipation in high-speed ULSI circuits. Unlike previous works, the energy is calculated using an ...
Payam Heydari, Massoud Pedram
VLSID
2005
IEEE
126views VLSI» more  VLSID 2005»
16 years 7 months ago
Exact Analytical Equations for Predicting Nonlinear Phase Errors and Jitter in Ring Oscillators
In this paper, we present a simple analytical equation for capturing phase errors in 3-stage ring oscillators. The model, based on a simple but useful idealization of the ring osc...
Jaijeet S. Roychowdhury
WSC
1998
15 years 8 months ago
Initializing On-line Simulations from the State of a Distributed System
In this paper, we address the complex task of initializing an on-line simulation to a current system state collected from an operating physical system. The paper begins by discuss...
Fernando G. Gonzalez, Wayne J. Davis