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MICAI
2004
Springer
14 years 3 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
INFOCOM
2010
IEEE
13 years 8 months ago
Throughput-Optimal Opportunistic Scheduling in the Presence of Flow-Level Dynamics
Abstract—We consider multiuser scheduling in wireless networks with channel variations and flow-level dynamics. Recently, it has been shown that the MaxWeight algorithm, which i...
Shihuan Liu, Lei Ying, R. Srikant
ISMAR
2003
IEEE
14 years 3 months ago
Augmented Reality Kanji Learning
ARToolKit programmers are familiar with the kanji symbols supplied with the distribution. Most of them have do not know what these kanji symbols mean. We propose a piece of educat...
Daniel Wagner, István Barakonyi
FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
14 years 1 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
14 years 4 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic