Showing 1–20 of 24 results
/ Date/ Name
Nov 18, 2022Understanding the double descent curve in Machine LearningSep 8, 2025Nested Grover's Algorithm for Tree SearchOct 8, 2025Quantum Algorithm for Binary Vector Encoding and Retrieval Utilizing the Permutation TrickMay 11, 2019Towards a Quantum-Like Cognitive Architecture for Decision-MakingFeb 6, 2015A Quantum Production ModelOct 2, 2017The Dutch's Real World Financial Institute: Introducing Quantum-Like Bayesian Networks as an Alternative Model to deal with UncertaintyFeb 21, 2020An Investigation of Interpretability Techniques for Deep Learning in Predictive Process AnalyticsJul 11, 2022Classification and Generation of real-world data with an Associative Memory ModelJan 5, 2023Competitive learning to generate sparse representations for associative memoryFeb 6, 2015Can Quantum Entanglement Detection Schemes Improve Search?Jun 15, 2017Are Quantum Models for Order Effects Quantum?Oct 26, 2022Multi-level Data Representation For Training Deep Helmholtz MachinesNov 25, 2022The smooth output assumption, and why deep networks are better than wide onesAug 26, 2015The Relation Between Acausality and Interference in Quantum-Like Bayesian NetworksFeb 6, 2015Tree Search and Quantum ComputationFeb 6, 2015Quantum Iterative Deepening with an application to the Halting problemJul 31, 2012Binary Willshaw learning yields high synaptic capacity for long-term familiarity memoryJul 16, 2018Introducing Quantum-Like Influence Diagrams for Violations of the Sure Thing PrincipleApr 30, 2021Using brain inspired principles to unsupervisedly learn good representations for visual pattern recognitionJul 20, 2022Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?