Results 31 to 40 of about 70 (69)
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Deep discriminative manifold learning
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016This paper presents a new non-linear dimensionality reduction with stochastic neighbor embedding. A deep neural network is developed for discriminative manifold learning where the class information in transformed low-dimensional space is preserved.
Jen-Tzung Chien, Ching-Huai Chen
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Axioms of a Theory of Discrimination Learning
Psychometrika, 1955Analysis of an empirical theory into a formal system with specified primitive notions and axioms has the advantage of making it clear what deductions from the theory are permissible, and clarifying the internal structure of the theory. An example of such analysis is presented in this paper.
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Social odor discrimination and its enhancement by associative learning in the hippocampal CA2 region
Neuron, 2023Sami Hassan +2 more
exaly
Discrimination Learning and Discrimination Reversal Learning in Normal and Feebleminded Children
The Journal of Genetic Psychology, 1956openaire +2 more sources