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ESANN
2008
13 years 11 months ago
An emphasized target smoothing procedure to improve MLP classifiers performance
Standard learning procedures are better fitted to estimation than to classification problems, and focusing the training on appropriate samples provides performance advantages in cl...
Soufiane El Jelali, Abdelouahid Lyhyaoui, An&iacut...
ICCV
2005
IEEE
15 years 3 days ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
TNN
2010
143views Management» more  TNN 2010»
13 years 4 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
ACL
2010
13 years 8 months ago
An Active Learning Approach to Finding Related Terms
We present a novel system that helps nonexperts find sets of similar words. The user begins by specifying one or more seed words. The system then iteratively suggests a series of ...
David Vickrey, Oscar Kipersztok, Daphne Koller
CSB
2004
IEEE
146views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Automated Protein Classification Using Consensus Decision
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
Tolga Can, Orhan Çamoglu, Ambuj K. Singh, Y...