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» A General Framework for Large Scale Systems Development
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ATAL
2007
Springer
15 years 6 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
BMCBI
2010
144views more  BMCBI 2010»
14 years 6 months ago
Optimizing Transformations for Automated, High Throughput Analysis of Flow Cytometry Data
Background: In a high throughput setting, effective flow cytometry data analysis depends heavily on proper data preprocessing. While usual preprocessing steps of quality assessmen...
Greg Finak, Juan-Manuel Perez, Andrew Weng, Raphae...
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
GLVLSI
2009
IEEE
189views VLSI» more  GLVLSI 2009»
15 years 6 months ago
High-performance, cost-effective heterogeneous 3D FPGA architectures
In this paper, we propose novel architectural and design techniques for three-dimensional field-programmable gate arrays (3D FPGAs) with Through-Silicon Vias (TSVs). We develop a...
Roto Le, Sherief Reda, R. Iris Bahar
NDSS
2008
IEEE
15 years 6 months ago
Limits of Learning-based Signature Generation with Adversaries
Automatic signature generation is necessary because there may often be little time between the discovery of a vulnerability, and exploits developed to target the vulnerability. Mu...
Shobha Venkataraman, Avrim Blum, Dawn Song