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» A Guided Monte Carlo Approach to Optimization Problems
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JMLR
2010
163views more  JMLR 2010»
14 years 11 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
ICML
2010
IEEE
15 years 5 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
PAMI
2010
124views more  PAMI 2010»
14 years 11 months ago
Structural Approach for Building Reconstruction from a Single DSM
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...
145
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WSC
1998
15 years 5 months ago
Stopping Criterion for a Simulation-Based Optimization Method
We consider a new simulation-based optimization method called the Nested Partitions (NP) method. This method generates a Markov chain and solving the optimization problem is equiv...
Sigurdur Ólafsson, Leyuan Shi
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
15 years 8 months ago
Optimized rate allocation for state feedback control over noisy channels
Abstract— Optimal rate allocation in a networked control system with highly limited communication resources is instrumental to achieve satisfactory overall performance. In this p...
Lei Bao, Mikael Skoglund, Carlo Fischione, Karl He...