Results 51 to 60 of about 2,253,559 (287)
The role of vocabulary knowledge on inference generation: A meta-analysis
Psychology of Language and Communication, 2021 Successful text comprehension results in a coherent mental model of the situation being described. To achieve this, the reader has to infer certain information by connecting parts of the text to their prior knowledge.
Sterpin Lucas Federico +3 more
doaj +1 more source
AIMS Mathematics, 2022 In this paper, a flexible probability mass function is proposed for modeling count data, especially, asymmetric, and over-dispersed observations. Some of its distributional properties are investigated.
Ahmed Sedky Eldeeb +2 more
doaj +1 more source
Studia Romanica Posnaniensia, 2019 The subject of this article is part of research trying to identify in a textual genre lexico-syntactic con-structions with generic markers value. The analysis focuses on the linguistic expression of the manifestation of the blushing body
Teresa Muryn
doaj +1 more source
MrBayes 3: Bayesian phylogenetic inference under mixed models
Bioinform., 2003 MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models.
F. Ronquist, J. Huelsenbeck
semanticscholar +1 more source
Inference on sets in finance [PDF]
Quantitative Economics, 2012 In this paper we consider the problem of inference on a class of sets describing a collection of admissible models as solutions to a single smooth inequality. Classical and recent examples include, among others, the Hansen-Jagannathan (HJ) sets of admissible stochastic discount factors, Markowitz-Fama (MF) sets of mean-variances for asset portfolio ...
Kocatulum, Emre +2 more
openaire +13 more sources
, 2018 Liquid typing provides a decidable refinement inference mechanism that is convenient but subject to two major issues: (1) inference is global and requires top-level annotations, making it unsuitable for inference of modular code components and ...
Tanter, Éric +2 more
core +1 more source
, 2008 I show that physical devices that perform observation, prediction, or recollection share an underlying mathematical structure. I call devices with that structure "inference devices".
Aliprantis +39 more
core +1 more source
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models [PDF]
arXiv, 2021 With an increase in low-cost machine learning APIs, advanced machine learning models may be trained on private datasets and monetized by providing them as a service. However, privacy researchers have demonstrated that these models may leak information about records in the training dataset via membership inference attacks.
arxiv
Simultaneous Inference in General Parametric Models
Biometrical journal. Biometrische Zeitschrift, 2008 Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre‐specified significance level ...
T. Hothorn, F. Bretz, P. Westfall
semanticscholar +1 more source
EIE: Efficient Inference Engine on Compressed Deep Neural Network [PDF]
International Symposium on Computer Architecture, 2016 State-of-the-art deep neural networks (DNNs) have hundreds of millions of connections and are both computationally and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources and power budgets.
Song Han +6 more
semanticscholar +1 more source