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IDA
2003
Springer
15 years 5 months ago
Very Predictive Ngrams for Space-Limited Probabilistic Models
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Paul R. Cohen, Charles A. Sutton
IJCNN
2008
IEEE
15 years 6 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
AUTOMATICA
2010
123views more  AUTOMATICA 2010»
14 years 10 months ago
On the computation of linear model predictive control laws
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...
84
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WSC
1998
15 years 1 months ago
Using ACCESSIBILITY to Assess the Performance of Generalized Hill Climbing Algorithms
The search problem, ACCESSIBILITY, asks whether a finite sequence of events can be found such that, starting with a specific initial event, a particular state can be reached. This...
Sheldon H. Jacobson, Enver Yücesan
CODES
2005
IEEE
15 years 5 months ago
Memory access optimizations in instruction-set simulators
Design of programmable processors and embedded applications requires instruction-set simulators for early exploration and validation of candidate architectures. Interpretive simul...
Mehrdad Reshadi, Prabhat Mishra