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检索条件"主题词=distribution learning/testing"
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learning and testing Latent-Tree Ising Models Efficiently  36
Learning and Testing Latent-Tree Ising Models Efficiently
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36th Annual Conference on learning Theory (COLT)
作者: Dagan, Yuval Daskalakis, Constantinos Kandiros, Anthimos-Vardis Choo, Davin MIT Dept Elect Engn & Comp Sci Cambridge MA 02139 USA Natl Univ Singapore Sch Comp Singapore Singapore
We provide time- and sample-efficient algorithms for learning and testing latent-tree Ising models, i.e. Ising models that may only be observed at their leaf nodes. On the learning side, we obtain efficient algorithms... 详细信息
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