State Sampling Dependence of Hopfield Network Inference

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	State Sampling Dependence of Hopfield Network Inference
	Huang, HP
刊名	COMMUNICATIONS IN THEORETICAL PHYSICS
	2012
卷号	57 期号:1 页码:169-172
关键词	NEURAL NETWORKS FREE-ENERGIES MODEL POPULATION SYSTEM
ISSN号	0253-6102
通讯作者	Huang, HP (reprint author), Chinese Acad Sci, Inst Theoret Phys, Key Lab Frontiers Theoret Phys, Beijing 100190, Peoples R China.
英文摘要	The fully connected Hopfield network is inferred based on observed magnetizations and pairwise correlations. We present the system in the glassy phase with low temperature and high memory load. We find that the inference error is very sensitive to the form of state sampling. When a single state is sampled to compute magnetizations and correlations, the inference error is almost indistinguishable irrespective of the sampled state. However, the error can be greatly reduced if the data is collected with state transitions. Our result holds for different disorder samples and accounts for the previously observed large fluctuations of inference error at low temperatures.
学科主题	Physics
收录类别	SCI
资助信息	National Science Foundation of China [10774150, 10834014]; China 973-Program [2007CB935903, HKUST605010]
语种	英语
WOS记录号	WOS:000300404700027
公开日期	2014-04-25
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/15193]
专题	理论物理研究所_理论物理所1978-2010年知识产出
推荐引用方式 GB/T 7714	Huang, HP. State Sampling Dependence of Hopfield Network Inference[J]. COMMUNICATIONS IN THEORETICAL PHYSICS,2012,57(1):169-172.
APA	Huang, HP.(2012).State Sampling Dependence of Hopfield Network Inference.COMMUNICATIONS IN THEORETICAL PHYSICS,57(1),169-172.
MLA	Huang, HP."State Sampling Dependence of Hopfield Network Inference".COMMUNICATIONS IN THEORETICAL PHYSICS 57.1(2012):169-172.