首页|Department of Computer Science and Engineering Reports Findings in Boltzmann Mac hines (Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?)
Department of Computer Science and Engineering Reports Findings in Boltzmann Mac hines (Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data?)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Boltzmann Machines is the subject of a report. According to news reporting originating from Lisbon, Portugal, by NewsRx correspondents, research stated, “It is generally assumed that the brain uses something akin to sparse distributed representations. These representations , however, are high-dimensional and consequently they affect classification perf ormance of traditional Machine Learning models due to the ‘curse of dimensionali ty’.”
LisbonPortugalEuropeBoltzmann Mach ineBoltzmann MachinesCurse Of DimensionalityEmerging TechnologiesMachine Learning
NETL
NSTL
