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AAAI
1998
15 years 4 months ago
Finding Optimal Strategies for Imperfect Information Games
Weexaminethree heuristic algorithms for gameswith imperfect information: Monte-carlo sampling, and two newalgorithms wecall vector minimaxingand payoffreduction minimaxing. Wecomp...
Ian Frank, David A. Basin, Hitoshi Matsubara
153
Voted
TCAD
1998
159views more  TCAD 1998»
15 years 3 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
119
Voted
TVLSI
2002
121views more  TVLSI 2002»
15 years 3 months ago
On-chip decoupling capacitor optimization using architectural level prediction
Switching activity-generated power-supply grid-noise presents a major obstacle to the reduction of supply voltage in future generation semiconductor technologies. A popular techniq...
Mondira Deb Pant, Pankaj Pant, D. Scott Wills
162
Voted
ICRA
2010
IEEE
131views Robotics» more  ICRA 2010»
15 years 2 months ago
Fast smoothing of manipulator trajectories using optimal bounded-acceleration shortcuts
— This paper considers a shortcutting heuristic to smooth jerky trajectories for many-DOF robot manipulators subject to collision constraints, velocity bounds, and acceleration b...
Kris Hauser, Victor Ng-Thow-Hing
164
Voted
SEAL
2010
Springer
15 years 1 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...