AIMC Topic: Likelihood Functions

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Towards end-to-end likelihood-free inference with convolutional neural networks.

The British journal of mathematical and statistical psychology Feb 22, 2019
Complex simulator-based models with non-standard sampling distributions require sophisticated design choices for reliable approximate parameter inference. We introduce a fast, end-to-end approach for approximate Bayesian computation (ABC) based on fu...
Humans Computer Simulation Regression Analysis Bayes Theorem Likelihood Functions Neural Networks, Computer Machine Learning Algorithms
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Multi-task learning improves ancestral state reconstruction.

Theoretical population biology Jan 11, 2019
We consider the ancestral state reconstruction problem where we need to infer phenotypes of ancestors using observations from present-day species. For this problem, we propose a multi-task learning method that uses regularized maximum likelihood to e...
Stochastic Processes Biological Evolution Models, Biological Machine Learning Humans Learning Mammals Phenotype Animals Likelihood Functions Computer Simulation Phylogeny
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Classification, substrate specificity and structural features of D-2-hydroxyacid dehydrogenases: 2HADH knowledgebase.

BMC evolutionary biology Dec 22, 2018
BACKGROUND: The family of D-isomer specific 2-hydroxyacid dehydrogenases (2HADHs) contains a wide range of oxidoreductases with various metabolic roles as well as biotechnological applications. Despite a vast amount of biochemical and structural data...
Phylogeny Amino Acid Sequence Knowledge Bases Substrate Specificity Coenzymes Catalytic Domain Alcohol Oxidoreductases Likelihood Functions
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Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.

IEEE transactions on medical imaging Sep 12, 2018
PET image reconstruction is challenging due to the ill-poseness of the inverse problem and limited number of detected photons. Recently, the deep neural networks have been widely and successfully used in computer vision tasks and attracted growing in...
Humans Neural Networks, Computer Likelihood Functions Computer Simulation Image Processing, Computer-Assisted Positron-Emission Tomography
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On the importance of hidden bias and hidden entropy in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines.

Neural networks : the official journal of the International Neural Network Society Jun 22, 2018
In this paper, we analyze the role of hidden bias in representational efficiency of the Gaussian-Bipolar Restricted Boltzmann Machines (GBPRBMs), which are similar to the widely used Gaussian-Bernoulli RBMs. Our experiments show that hidden bias play...
Entropy Bias Likelihood Functions Normal Distribution Neural Networks, Computer Machine Learning
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EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning.

Artificial intelligence in medicine Apr 23, 2018
OBJECTIVE: Electronic medical records (EMRs) contain medical knowledge that can be used for clinical decision support (CDS). Our objective is to develop a general system that can extract and represent knowledge contained in EMRs to support three CDS ...
Electronic Health Records Decision Support Systems, Clinical Markov Chains Likelihood Functions Machine Learning Algorithms
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Max-margin weight learning for medical knowledge network.

Computer methods and programs in biomedicine Jan 11, 2018
BACKGROUND AND OBJECTIVE: The application of medical knowledge strongly affects the performance of intelligent diagnosis, and method of learning the weights of medical knowledge plays a substantial role in probabilistic graphical models (PGMs). The p...
Computer Graphics Signal Processing, Computer-Assisted Markov Chains Likelihood Functions Algorithms Electronic Health Records Models, Theoretical Humans Diagnosis, Computer-Assisted Reproducibility of Results Models, Statistical Neural Networks, Computer China Machine Learning
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Estimating the Causal Impact of Proximity to Gold and Copper Mines on Respiratory Diseases in Chilean Children: An Application of Targeted Maximum Likelihood Estimation.

International journal of environmental research and public health Dec 27, 2017
In a town located in a desert area of Northern Chile, gold and copper open-pit mining is carried out involving explosive processes. These processes are associated with increased dust exposure, which might affect children's respiratory health. Therefo...
Mining Child Air Pollutants Humans Residence Characteristics Cross-Sectional Studies Air Pollution Copper Gold Female Chile Male Likelihood Functions Risk Factors Prevalence Respiratory Tract Diseases
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Collaborative targeted learning using regression shrinkage.

Statistics in medicine Nov 2, 2017
Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate set with the goal of improving estimation efficiency. Collaborative targeted minimum loss-based estima...
Asthma Causality Models, Statistical Regression Analysis Outcome Assessment, Health Care Pregnancy Complications Pregnancy Female Infant, Newborn Machine Learning Algorithms Computer Simulation Humans Propensity Score Likelihood Functions Biostatistics
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Deep neural networks for texture classification-A theoretical analysis.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2017
We investigate the use of Deep Neural Networks for the classification of image datasets where texture features are important for generating class-conditional discriminative representations. To this end, we first derive the size of the feature space f...
Neural Networks, Computer Algorithms Databases, Factual Classification Image Processing, Computer-Assisted Likelihood Functions Pattern Recognition, Automated
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