Quantum-like Cognition and Decision-Making: Interpretation of Phases in Quantum-like Superposition. [PDF]
Entropy (Basel)Khrennikov A.
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Azaporphyrinoid‐Based Photo‐ and Electroactive Architectures for Advanced Functional Materials
Advanced Materials, EarlyView.A long‐standing collaboration between the Torres and Guldi groups has yielded diverse azaporphyrinoid‐based donor‐acceptor nanohybrids with promising applications in solar energy conversion. This conspectus highlights key molecular platforms and structure‐function relationships that govern light and charge management, supporting the rational design of ...
Jorge Labella +3 more
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An Extended Epistemic Framework Beyond Probability for Quantum Information Processing with Applications in Security, Artificial Intelligence, and Financial Computing. [PDF]
Entropy (Basel)Iovane G.
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Determining the Upper-Bound on the Code Distance of Quantum Stabilizer Codes Through the Monte Carlo Method Based on Fully Decoupled Belief Propagation. [PDF]
Entropy (Basel)Liang Z, Wang Z, Yi Z, Yang F, Wang X.
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Unraveling family resilience patterns in ICU first-episode stroke: a latent profile analysis. [PDF]
Front PsycholDu J, Yang J, Wu Y, Lei L, Nie C, Wu X.
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Disentangling Boltzmann Brains, the Time-Asymmetry of Memory, and the Second Law. [PDF]
Entropy (Basel)Wolpert D, Rovelli C, Scharnhorst J.
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Quantifying the Linguistic Complexity of Pan-Homophonic Events in Stock Market Volatility Dynamics. [PDF]
Entropy (Basel)Zhang Y, Tian J, Zou Y, Zhang X, Cai X.
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Neighborhood perceivable graph neural network for relational heterogeneous Twitter bot detection. [PDF]
PLoS OneLi Y, Lu H, Chen W.
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Sparse maximum entropy deep belief nets
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013In this paper, we present a sparse maximum entropy (SME) learning algorithm for deep belief net (DBN). The SME algorithm aims to maximize the entropy and encourage sparsity of the model. Compared with the conventional maximum likelihood (ML) learning, the proposed SME algorithm enables DBN to be more unbiased to data distributions and robust to ...
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