Inference Plans for Hybrid Probabilistic Inference by Cheng, Ellie Y.

“…Advanced probabilistic programming languages (PPLs) use hybrid inference systems to combine symbolic exact inference and Monte Carlo sampling to improve inference performance. …”
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Ensemble inference and inferability of gene regulatory networks. by S M Minhaz Ud-Dean, Rudiyanto Gunawan

“…The inference of gene regulatory network (GRN) from gene expression data is an unsolved problem of great importance. …”
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Are Narrow Focus Exhaustivity Inferences Bayesian Inferences? by Alexander Schreiber, Edgar Onea

“…In successful communication, the literal meaning of linguistic utterances is often enriched by pragmatic inferences. Part of the pragmatic reasoning underlying such inferences has been successfully modeled as Bayesian goal recognition in the Rational Speech Act (RSA) framework. …”
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Neural networks for inference, inference for neural networks by Webb, S

“…In particular, we will look at how NNs can assist in the inference process and how we can perform inference over flexible NN models.…”

Statistical inference of acupoint specificity: forward and reverse inference by Ye-Chae Hwang, Ye-Seul Lee, Yeonhee Ryu, In-Seon Lee, Younbyoung Chae

“…The present study aimed to identify the specificity of acupoint selection (forward inference) and the specificity of acupoint indication (reverse inference) from the online virtual diagnosis experiment. …”
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From Grammar Inference to Semantic Inference—An Evolutionary Approach by Željko Kovačević, Marjan Mernik, Miha Ravber, Matej Črepinšek

Subjects: “…grammatical inference…”
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CollocInfer: Collocation Inference in Differential Equation Models by Giles Hooker, James O. Ramsay, Luo Xiao

“…This monograph details the implementation and use of the CollocInfer package in R for smoothing-based estimation of continuous-time nonlinear dynamic systems. …”
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Distributed inference : combining variational inference with distributed computing by Calabrese, Chris, M. Eng. Massachusetts Institute of Technology

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Opt-CoInfer: Optimal collaborative inference across IoT and cloud for fast and accurate CNN inference by Zhanhua Zhang, Hanqiao Yu, Fangzhou Wang

Subjects: “…Collaborative inference…”
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Statistical inference / by 421952 Saxena, H. C., Surendran, P. U.

Inference and decision / by 204217 Fraser, Donald Alexander Stuart

Statistical inference / by 343307 Walker, Helen Mary, Lev, Joseph

Statistical inference / by 420792 Casella, George, Berger, Roger L.

Nonparametric inference / by Govindarajulu, Z

Statistical inference / by 205004 Garthwaite, Paul H., Jolliffe, Ian T., Jones, Byron

Scientific inference / by Jeffreys, Harold, Sir

Knowledge and inference / by 210630 Makoto, Nagao, Weyrauch, Richard, Yasuko, Kitajima

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Statistical inference / by 339542 Silvey, S. D.

Visualization and Inferences by Jean-Daniel Fekete

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Information and Inference by Paul Walton

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