TREEQN AND ATREEC: DIFFERENTIABLE TREE-STRUCTURED MODELS FOR DEEP REINFORCEMENT LEARNING 发表时间:2018(ICLR 2018) 文章要点:这篇文章设计了特别的网络结构,将树结构嵌入到神经网络中,实现了look-ahead tree的online planning,将model free和online planning结合起来,并提出了TreeQN和ATreeC算法。并且这个树结构是可...
Tree-structured generalized autoregressive conditional heteroscedastic models. Journal of the Royal Statistical Society: Series B, 63:727-744, 2001.Audrino, F., Buhlmann, P., 2001. Tree-structured generalized autoregressive conditional heteroskedastic models. J. Roy. Statist. Soc. B 63, 727-744....
浏览ProQuest 或者,您可以通过以下选项直接从 ProQuest 购买本文档完整全文文献的副本: 订购 Tree-structured models of multitext: Theory, design and experiments Wellington, Benjamin P. New York University ProQuest Dissertations & Theses, 2007. 3283365. ProQuest...
1 introduction Most models for distributed representations of phrases and sentences—that is, models where realvalued vectors are used to represent meaning—fall into one of three classes: bag-of-words models-句子中的单词的序列关系看不出来 sequence models tree-structured models.-包含了句法语义 与sta...
Tree-structured extreme value model regression - Ahn - 1994 () Citation Context ...originally suggested smoothed or unsmoothed piece-wise polynomial models, and was subsequently extended to GLM-type and survival models (Ahn and Chen 1997; Choi, Ahn, and Chen 2005; Ahn and Loh 1994; =-=Ahn...
This work extends the tree-structured topic model such that it can be incorporated with neural models for downstream tasks. PDF Abstract Code Edit No code implementations yet. Submit your code now Tasks Edit model Datasets Edit Add Datasets introduced or used in this paper ...
Annotating NL utterances with their corresponding MRs is expensive and time-consuming, and thus the limited availability of labeled data often becomes the bottleneck of data-driven, supervised models. We introduce StructVAE, a variational auto-encoding model for semisupervised semantic parsing, which ...
The resulting binary tree describes the regions and intensity values chosen. Finally, a pruning procedure is used to choose the subtree which best models the true underlying distribution of emissions. 展开 学位级别: Ph.D. 学位年度: 1994 ...
Tree-structured Policy Planning with Learned Behavior Models,Yuxiao Chen1, Peter Karkus1, Boris Ivanovic1, Xinshuo Weng1, and Marco Pavone1,2。abstract如下: 文章也是提出了多模态决策预测规划的概念,这里的多模态包括了自车的多模态;以及考虑自车不同模态影响下的目标车辆的多模态。对于只考虑目标车辆的多...
Nonparametric Bayesian sparse factor models with application to gene expression modeling A nonparametric Bayesian extension of Factor Analysis (FA) is proposed where observed data Y is modeled as a linear superposition, G, of a potentially infi... D Knowles,Z Ghahramani - 《Annals of Applied Statis...