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ICML
2008
IEEE
16 years 7 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ICCAD
2003
IEEE
198views Hardware» more  ICCAD 2003»
16 years 3 months ago
A CAD Framework for Co-Design and Analysis of CMOS-SET Hybrid Integrated Circuits
This paper introduces a CAD framework for co-simulation of hybrid circuits containing CMOS and SET (Single Electron Transistor) devices. An improved analytical model for SET is al...
Santanu Mahapatra, Kaustav Banerjee, Florent Pegeo...
ICCS
2009
Springer
16 years 1 months ago
GPU Accelerated RNA Folding Algorithm
Many bioinformatics studies require the analysis of RNA or DNA structures. More specifically, extensive work is done to elaborate efficient algorithms able to predict the 2-D fold...
Guillaume Rizk, Dominique Lavenier
ECAI
2004
Springer
15 years 12 months ago
Introducing Alias Information into Model-Based Debugging
Model-based diagnosis applied to computer programs has been studied for several years. Although there are still weaknesses in the used models, especially on dealing with dynamic da...
Daniel Köb, Franz Wotawa
TEC
2010
191views more  TEC 2010»
15 years 1 months ago
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
Sheng Chen, Xia Hong, Chris J. Harris