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TCAD
1998
159views more  TCAD 1998»
15 years 4 months ago
Code density optimization for embedded DSP processors using data compression techniques
We address the problem of code size minimization in VLSI systems with embedded DSP processors. Reducing code size reduces the production cost of embedded systems. We use data comp...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer
SEAL
2010
Springer
15 years 2 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
JMLR
2012
13 years 7 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
PVLDB
2010
96views more  PVLDB 2010»
15 years 3 months ago
Scalable Data Exchange with Functional Dependencies
The recent literature has provided a solid theoretical foundation for the use of schema mappings in data-exchange applications. Following this formalization, new algorithms have b...
Bruno Marnette, Giansalvatore Mecca, Paolo Papotti
TSE
2010
136views more  TSE 2010»
15 years 3 months ago
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Mark Harman, Phil McMinn