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COLT
2010
Springer
14 years 9 months ago
Active Learning on Trees and Graphs
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...
Nicolò Cesa-Bianchi, Claudio Gentile, Fabio...
ICML
1996
IEEE
16 years 14 days ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
CP
2009
Springer
15 years 6 months ago
Exploiting Problem Decomposition in Multi-objective Constraint Optimization
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Radu Marinescu
103
Voted
DATE
1999
IEEE
118views Hardware» more  DATE 1999»
15 years 4 months ago
Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...
Michael S. Hsiao
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
14 years 9 months ago
Optimal control in two-hop relay routing
We study the optimal control of propagation of packets in delay tolerant mobile ad-hoc networks. We consider a two-hop forwarding policy under which the expected number of nodes ca...
Eitan Altman, Tamer Basar, Francesco De Pellegrini