Sciweavers

93 search results - page 10 / 19
» A new theoretic framework for cross-layer optimization
Sort
View
GECCO
2004
Springer
142views Optimization» more  GECCO 2004»
15 years 5 months ago
Improving MACS Thanks to a Comparison with 2TBNs
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuil...
DAC
1999
ACM
16 years 20 days ago
Soft Scheduling in High Level Synthesis
In this paper, we establish a theoretical framework for a new concept of scheduling called soft scheduling. In contrasts to the traditional schedulers referred as hard schedulers,...
Jianwen Zhu, Daniel Gajski
NIPS
2001
15 years 1 months ago
Boosting and Maximum Likelihood for Exponential Models
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
Guy Lebanon, John D. Lafferty
ICCD
2007
IEEE
183views Hardware» more  ICCD 2007»
15 years 8 months ago
Constraint satisfaction in incremental placement with application to performance optimization under power constraints
We present new techniques for explicit constraint satisfaction in the incremental placement process. Our algorithm employs a Lagrangian Relaxation (LR) type approach in the analyt...
Huan Ren, Shantanu Dutt
INFOCOM
2008
IEEE
15 years 6 months ago
Towards Optimal Resource Allocation in Partial-Fault Tolerant Applications
—We introduce Zen, a new resource allocation framework that assigns application components to node clusters to achieve high availability for partial-fault tolerant (PFT) applicat...
Nikhil Bansal, Ranjita Bhagwan, Navendu Jain, Yoon...