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ESANN
2006
11 years 1 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
ESANN
2006
11 years 1 months ago
Iterative context compilation for visual object recognition
This contribution describes an almost parameterless iterative context compilation method, which produces feature layers, that are especially suited for mixed bottom-up top-down ass...
Jens Teichert, Rainer Malaka
ESANN
2006
11 years 1 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
ESANN
2006
11 years 1 months ago
Nonlinear dynamics in neural computation
This tutorial reports on the use of nonlinear dynamics in several different models of neural systems. We discuss a number of distinct approaches to neural information processing ba...
Tjeerd Olde Scheper, Nigel Crook
ESANN
2006
11 years 1 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ESANN
2006
11 years 1 months ago
Time series prediction using DirRec strategy
This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes...
Antti Sorjamaa, Amaury Lendasse
ESANN
2006
11 years 1 months ago
Synthesis of maximum margin and multiview learning using unlabeled data
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
Sándor Szedmák, John Shawe-Taylor
ESANN
2006
11 years 1 months ago
Consistent estimation of the architecture of multilayer perceptrons
Abstract. We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done b...
Joseph Rynkiewicz
ESANN
2006
11 years 1 months ago
Efficient Forward Regression with Marginal Likelihood
We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
Ping Sun, Xin Yao
ESANN
2006
11 years 1 months ago
Using sampling methods to improve binding site predictions
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
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