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HYBRID
2007
Springer
16 years 1 months ago
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
Grégory Batt, Calin Belta, Ron Weiss
GPCE
2003
Springer
16 years 5 days ago
A Case for Test-Code Generation in Model-Driven Systems
A primary goal of generative programming and model-driven ent is to raise the level of abstraction at which designers and developers interact with the software systems they are bui...
Matthew J. Rutherford, Alexander L. Wolf
HICSS
2007
IEEE
136views Biometrics» more  HICSS 2007»
16 years 1 months ago
Analog and Hybrid Computation Approaches for Static Power Flow
Analog and hybrid computation methods are areas of continued interest, particularly in specific applications where traditional digital computation techniques cannot achieve the de...
Aaron St. Leger, Chika O. Nwankpa
201
Voted
EMNLP
2006
15 years 8 months ago
A Hybrid Markov/Semi-Markov Conditional Random Field for Sequence Segmentation
Markov order-1 conditional random fields (CRFs) and semi-Markov CRFs are two popular models for sequence segmentation and labeling. Both models have advantages in terms of the typ...
Galen Andrew
188
Voted
ICAC
2006
IEEE
16 years 1 months ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...