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ISLPED
2004
ACM
108views Hardware» more  ISLPED 2004»
15 years 10 months ago
SEPAS: a highly accurate energy-efficient branch predictor
Designers have invested much effort in developing accurate branch predictors with short learning periods. Such techniques rely on exploiting complex and relatively large structure...
Amirali Baniasadi, Andreas Moshovos
ICANN
2009
Springer
15 years 9 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
144
Voted
NIPS
1993
15 years 5 months ago
The Power of Amnesia
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Dana Ron, Yoram Singer, Naftali Tishby
IEAAIE
2010
Springer
15 years 2 months ago
Learning User Preferences to Maximise Occupant Comfort in Office Buildings
It is desirable to ensure that the thermal comfort conditions in offices are in line with the preferences of occupants. Controlling their offices correctly therefore requires the c...
Anika Schumann, Nic Wilson, Mateo Burillo
CDC
2008
IEEE
109views Control Systems» more  CDC 2008»
15 years 11 months ago
MPC for tracking with optimal closed-loop performance
— This paper deals with the tracking problem for constrained linear systems using a model predictive control (MPC) law. As it is well known, MPC provides a control law suitable f...
Antonio Ferramosca, Daniel Limón, Ignacio A...