Quantum-inspired algorithms are already leaking into AI, where optimization is king. Training models, fine-tuning hyperparameters, even the greedy guts of reinforcement learning all rely on solving ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

Sorts a list in ascending order using the selection sort algorithm. :param collection: A list of integers to be sorted. :return: The sorted list.

Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational cost and easy-to-local ...

Swapping the values stored at two indexes in an array has multiple uses, such as for sorting an array or reversing an array. Given an array and an index, write a method indexOfMin() to find the index ...

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For feature selection, an evolutionary approach by utilizing “Hybrid Binary Particle Swarm Optimization and Gravitational Search Algorithm (BPSOGSA)” is proposed and correlation coefficient is ...