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» Time delay systems with distribution dependent dynamics
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ICML
2004
IEEE
16 years 7 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 10 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
VLSID
2005
IEEE
255views VLSI» more  VLSID 2005»
16 years 6 months ago
Estimation of Switching Activity in Sequential Circuits Using Dynamic Bayesian Networks
We propose a novel, non-simulative, probabilistic model for switching activity in sequential circuits, capturing both spatio-temporal correlations at internal nodes and higher ord...
Sanjukta Bhanja, Karthikeyan Lingasubramanian, N. ...
ISLPED
2004
ACM
110views Hardware» more  ISLPED 2004»
15 years 12 months ago
Reducing pipeline energy demands with local DVS and dynamic retiming
The quadratic relationship between voltage and energy has made dynamic voltage scaling (DVS) one of the most powerful techniques to reduce system power demands. Recently, techniqu...
Seokwoo Lee, Shidhartha Das, Toan Pham, Todd M. Au...
RTSS
2005
IEEE
16 years 3 days ago
Voltage Scaling Scheduling for Periodic Real-Time Tasks in Reward Maximization
— This paper is interested in reward maximization of periodic real-time tasks under a given energy constraint, where the reward received depends on how much computation a task ru...
Jian-Jia Chen, Tei-Wei Kuo