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The Voynich Manuscript is Written in Natural Language: The Pahlavi Hypothesis
Here, we provide evidence that the VM is written in natural language by establishing a relation of the Voynich alphabet and the Iranian Pahlavi script.
Critical Parameters in Particle Swarm Optimisation
Particle swarm optimisation is a metaheuristic algorithm which finds reasonable solutions in a wide range of applied problems if suitable parameters are used.
CriPS: Critical Dynamics in Particle Swarm Optimization
Particle Swarm Optimisation (PSO) makes use of a dynamical system for solving a search task.
Lagged correlation-based deep learning for directional trend change prediction in financial time series
Trend change prediction in complex systems with a large number of noisy time series is a problem with many applications for real-world phenomena, with stock markets as a notoriously difficult to predict example of such systems.
Evolutionary Selective Imitation: Interpretable Agents by Imitation Learning Without a Demonstrator
We propose a new method for training an agent via an evolutionary strategy (ES), in which we iteratively improve a set of samples to imitate: Starting with a random set, in every iteration we replace a subset of the samples with samples from the best trajectories discovered so far.
