2 citations · 2 across the 3 of their papers we have counts for
6 papers
A simple probabilistic neural network for machine understanding
Rongrong Xie, Matteo Marsili
We discuss probabilistic neural networks with a fixed internal representation as models for machine understanding. Here understanding is intended as mapping data to an already exis…
A random energy approach to deep learning
Rongrong Xie, Matteo Marsili
We study a generic ensemble of deep belief networks which is parametrized by the distribution of energy levels of the hidden states of each layer. We show that, within a random ene…
Random matrices applications to soft spectra
Rongrong Xie, Weibing Deng, Mauricio P. Pato
It recently has been found that methods of the statistical theories of spectra can be a useful tool in the analysis of spectra far from levels of Hamiltonian systems. Several examp…
Two halves of a meaningful text are statistically different
Weibing Deng, R. Xie, S. Deng +1
Which statistical features distinguish a meaningful text (possibly written in an unknown system) from a meaningless set of symbols? Here we answer this question by comparing featur…
Active image restoration
Rongrong Xie, Shengfeng Deng, Weibing Deng +1
We study active restoration of noise-corrupted images generated via the Gibbs probability of an Ising ferromagnet in external magnetic field. Ferromagnetism accounts for the prior…
Quantitative Entropy Study of Language Complexity
R. R. Xie, W. B. Deng, D. J. Wang +1
We study the entropy of Chinese and English texts, based on characters in case of Chinese texts and based on words for both languages. Significant differences are found between the…