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Evolution of Neural Architectures for Financial Forecasting: A Note on Data Incompatibility during Crisis Periods
This note focuses on the optimization of neural architectures for stock index movement forecasting following a major market disruption or crisis.
Coevolution of Neural Architectures and Features for Stock Market Forecasting: A Multi-objective Decision Perspective
In a multi objective setting, a portfolio manager's highly consequential decisions can benefit from assessing alternative forecasting models of stock index movement.
A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting
This study proposes a new framework to evolve efficacious yet parsimonious neural architectures for the movement prediction of stock market indices using technical indicators as inputs.
Generalizing Prototype Theory: A Formal Quantum Framework
We show how a formal quantum approach to concepts and their combinations can provide a powerful extension of prototype theory.
The Quantum Challenge in Concept Theory and Natural Language Processing
The mathematical formalism of quantum theory has been successfully used in human cognition to model decision processes and to deliver representations of human knowledge.
Meaning-focused and Quantum-inspired Information Retrieval
In recent years, quantum-based methods have promisingly integrated the traditional procedures in information retrieval (IR) and natural language processing (NLP).
