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CEC
2007
IEEE
14 years 1 months ago
Improving generalization capability of neural networks based on simulated annealing
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
Yeejin Lee, Jong-Seok Lee, Sun-Young Lee, Cheol Ho...
TNN
1998
132views more  TNN 1998»
13 years 7 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
ESANN
2006
13 years 8 months ago
Recognition of handwritten digits using sparse codes generated by local feature extraction methods
We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
Rebecca Steinert, Martin Rehn, Anders Lansner
ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
14 years 23 days ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
ESANN
2008
13 years 8 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton