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AAI
2008
93views more  AAI 2008»
13 years 7 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
13 years 12 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
CIKM
2000
Springer
13 years 11 months ago
Relevance and Reinforcement in Interactive Browsing
We consider the problem of browsing the top ranked portion of the documents returned by an information retrieval system. We describe an interactive relevance feedback agent that a...
Anton Leuski
ICC
2007
IEEE
139views Communications» more  ICC 2007»
14 years 1 months ago
Throughput Maximization Transmission Control Scheme Using Precoding for MIMO Systems
— Multiple-input multiple-output (MIMO) systems that realize a high-speed data transmission with multiple antennas at both transmitter and receiver are drawing much attention. In...
Kenichi Kobayashi, Tomoaki Ohtsuki, Toshinobu Kane...
SBRN
2000
IEEE
13 years 12 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...