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» Minimal Kernel Classifiers
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ICANN
2007
Springer
15 years 1 months ago
Classifying EEG Data into Different Memory Loads Across Subjects
Abstract. In this paper we consider the question of whether it is possible to classify n-back EEG data into different memory loads across subjects. To capture relevant information ...
Liang Wu, Predrag Neskovic
ICANN
2010
Springer
14 years 10 months ago
Deep Bottleneck Classifiers in Supervised Dimension Reduction
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
Elina Parviainen
ICML
2010
IEEE
14 years 7 months ago
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains
In the realm of multilabel classification (MLC), it has become an opinio communis that optimal predictive performance can only be achieved by learners that explicitly take label d...
Krzysztof Dembczynski, Weiwei Cheng, Eyke Hül...
PR
2010
144views more  PR 2010»
14 years 8 months ago
Classifying transformation-variant attributed point patterns
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
K. E. Dungan, L. C. Potter
LATA
2011
Springer
14 years 19 days ago
Classifying Regular Languages via Cascade Products of Automata
Abstract. Building on the celebrated Krohn-Rhodes Theorem we characterize classes of regular languages in terms of the cascade decompositions of minimal DFA of languages in those c...
Marcus Gelderie