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» Feature Construction for Back-Propagation
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IJCNN
2008
IEEE
16 years 1 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IJCNN
2008
IEEE
16 years 1 months ago
Dataset complexity can help to generate accurate ensembles of k-nearest neighbors
— Gene expression based cancer classification using classifier ensembles is the main focus of this work. A new ensemble method is proposed that combines predictions of a small ...
Oleg Okun, Giorgio Valentini
ACIVS
2008
Springer
16 years 1 months ago
Foliage Recognition Based on Local Edge Information
In many real-world object recognition applications, texture plays a very important role. Much research has gone into texture-based segmentation methods, which focus on finding the...
David Van Hamme, Peter Veelaert, Wilfried Philips,...
ANSS
2007
IEEE
16 years 1 months ago
Evaluating the Design of Biological Cells Using a Computer Workbench
For embedded systems as well as for biological cell systems, design is a feature that defines their identity. The assembly of different components in designs of both systems can ...
Tessa E. Pronk, Simon Polstra, Andy D. Pimentel, T...
AVSS
2007
IEEE
16 years 1 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen