Results 21 to 30 of about 720,962 (318)
Journal of Statistics and Data Science Education, 2021 Collaborative work is inherent to being a statistician or data scientist, yet opportunities for training and exposure to real-world scenarios are often only a small part of a student’s academic program.
Julia L. Sharp +2 more
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, 2022 The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines.
Parr, Thomas +2 more
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An analysis of hot‐started ADMM for linear MPC
IET Control Theory & Applications, 2021 A convergence analysis of the alternating direction method of multipliers (ADMM) for linear model predictive control (MPC) problems with regularization terms is addressed here.
Mitsuru Toyoda, Mirai Tanaka
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Kant’ta Ruhun Basitliği Safsatası
Ankara Üniversitesi İlahiyat Fakültesi Dergisi, 2023 Ruhun basitliği argümanı, Platon ve Kartezyen felsefe tarafından savunulduğu üzere, düşünen şeyin bedenin bölünmesiyle eksilmediğinden dolayı basit olduğunu ve bu nedenle bedenden farklı bir töz yani ruh olduğunu çıkarsar.
Fatih Özgökman
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Continuous Reproducibility in GNSS Signal Processing
IEEE Access, 2018 This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades +3 more
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Estimation and Inference in an Ecological Inference Model [PDF]
SSRN Electronic Journal, 2015 Abstract We interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. In this setting, the counterfactual distributions and policy parameters of interest are only partially identified under a selection on observables assumption. In
Fan, Yanqin +2 more
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Deep Learning for Causal Inference
, 2023 This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on building and optimizing custom deep learning models and shows how to adapt ...
Tim Sainburg +5 more
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Journal of Islamic and Religious Studies, 2021 This research aims to prove the Islamic Jurists rule “Naqḍ al Istidlāl bi Ithbāt ‘annahu U'wwalu i’la al Maḥāl”. The main research problem lies in the “Maḥāl”, its limits, types, and ways of proving it.
Saeed bin Ahmad Salih Faraj
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Variational Inference for Logical Inference
CoRR, 2017 Functional Distributional Semantics is a framework that aims to learn, from text, semantic representations which can be interpreted in terms of truth. Here we make two contributions to this framework. The first is to show how a type of logical inference can be performed by evaluating conditional probabilities.
Emerson, Guy, Copestake, Ann
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Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 2018 We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
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