This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

The size and complexity of energy system optimization models have increased significantly in recent years, driven by the availability of high-resolution spatial data. We present complexity reduction ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Upon completion of the minor requirements, it will be noted as a “Minor in Research Methodology” on the academic transcript. Students are encouraged to discuss the possibilities of the minor with ...

The expectation-maximization (EM) algorithm for maximizing likelihood functions, combined with the Viterbi algorithm, is applied to the problem of sequence detection when symbol timing information is ...

In recent years, graph-based multiview clustering methods have become a research hotspot in the clustering field. However, most existing methods lack consideration of cluster balance in their results.

In task driven multi-agent autonomous collaboration technology, agents collaborate to complete tasks based on their characteristics. How to comprehensively consider the performance of agents and the ...

retrieval expectation-maximization support-vector-machine semantic-similarity generative expectation-maximization-algorithm factor-analysis stochastic-gradient-descent density-peaks ...