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ICML
2009
IEEE
16 years 29 days ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
ICRA
2008
IEEE
157views Robotics» more  ICRA 2008»
16 years 18 days ago
Analysis and improvement of the consistency of extended Kalman filter based SLAM
Abstract— In this work, we study the inconsistency of EKFbased SLAM from the perspective of observability. We analytically prove that when the Jacobians of the state and measurem...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....
OOPSLA
2005
Springer
15 years 11 months ago
Fortune teller: improving garbage collection performance in server environment using live objects prediction
Currently, the most adopted criterion to invoke garbage collection is heap space exhaustion. In other words, garbage collection is invoked when the heap space (either the entire s...
Feng Xian, Witawas Srisa-an, Hong Jiang
WISE
2009
Springer
16 years 29 days ago
Recommending Improvements to Web Applications Using Quality-Driven Heuristic Search
Planning out maintenance tasks to increase the quality of Web applications can be difficult for a manager. First, it is hard to evaluate the precise effect of a task on quality. S...
Stéphane Vaucher, Samuel Boclinville, Houar...
EUROMICRO
2006
IEEE
16 years 6 days ago
OWPL: A Gradual Approach for Software Process Improvement In SMEs
This paper describes an experience with a Software Process Improvement (SPI) approach particularly adapted to small structures with low software maturity level (e.g. small and med...
Simon Alexandre, Alain Renault, Naji Habra