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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
TKDE
2012
192views Formal Methods» more  TKDE 2012»
11 years 11 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
14 years 3 months ago
A constrained optimization approach to virtual fixtures for multi-handed tasks
— In this work, we have extended the concept of constrained motion control of robots to surgical tasks that require multiple robots. We present virtual fixtures to guide the mot...
Ankur Kapoor, Russell H. Taylor
IWCMC
2010
ACM
14 years 2 months ago
Only the short die old: route optimization in MANETs by dynamic subconnection shrinking
In reactive routing protocols, active routes for multihop connections retain their topological structure in spite of node movement over time. Unfortunately, node movements may mak...
Zeki Bilgin, Bilal Khan, Ala I. Al-Fuqaha
ICIP
2004
IEEE
14 years 10 months ago
Low-complexity rate-distortion optimized video streaming
This paper proposes two techniques for low-complexity rate-distortion (R-D) optimized streaming of packetized video. These techniques enable computing packet transmission schedule...
Jacob Chakareski, John G. Apostolopoulos, Bernd Gi...