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3.11M
Lifelong Generative Modeling
auto - encoding variational bayes .
Fril - Fuzzy and Evidential Reasoning in Artificial Intelligence, by J. F. Baldwin, T. P. Martin, and B. W. Pilsworth
eng_Latn
34,100
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
Learning Causal Structure from Undersampled Time Series
Dynamic Bayesian Networks: Representation, Inference and Learning
eng_Latn
34,101
Active Learning for Parameter Estimation in Bayesian Networks
Information-Based Objective Functions for Active Data Selection
Single image tree modeling
eng_Latn
34,102
Bayesian Network Classifiers
Estimating Continuous Distributions in Bayesian Classifiers
On the handling of continuous-valued attributes in decision tree generation
kor_Hang
34,103
Compiling probabilistic graphical models using sentential decision diagrams
A differential approach to inference in Bayesian networks
Vehicle Re-Identification Using Quadruple Directional Deep Learning Features
eng_Latn
34,104
Neural Processes
Prototypical Networks for Few-shot Learning
Variational Bayesian Inference with Stochastic Search
por_Latn
34,105
Financial modeling using Gaussian process models
Gaussian Processes for Machine Learning
BAYESIAN LEARNING FOR NEURAL NETWORKS
eng_Latn
34,106
Nonlinear causal discovery with additive noise models
Gaussian Process Networks
matrix computations ( 3 . ed . ) .
eng_Latn
34,107
Real-Time Driver's Stress Event Detection
Dynamic Bayesian Networks: Representation, Inference and Learning
Picturing Science: Design Patterns in Graphical Abstracts
fra_Latn
34,108
Stan: A Probabilistic Programming Language for Bayesian Inference and Optimization
winbugs - a bayesian modelling framework : concepts , structure , and extensibility .
Climate change model predicts 33 % rice yield decrease in 2100 in Bangladesh
eng_Latn
34,109
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Conditional Generative Adversarial Nets
A constrained parameter evolutionary learning algorithm for Bayesian network under incomplete and small data
eng_Latn
34,110
A Frequency-based Stochastic Blockmodel
a variational baysian framework for graphical models .
Vehicle Re-Identification by Deep Hidden Multi-View Inference
eng_Latn
34,111
A Game-Theoretic Analysis of Adversarial Classification
Bayesian Reasoning and Machine Learning
Wrappers for feature subset selection
kor_Hang
34,112
S.O.S.: Does Your Search Engine Results Page (SERP) Need Help?
Estimating Continuous Distributions in Bayesian Classifiers
Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation
eng_Latn
34,113
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package
Causal Inference and Causal Explanation with Background Knowledge
Tofacitinib or Adalimumab versus Placebo for Psoriatic Arthritis
eng_Latn
34,114
Bayesian Cognitive Modeling: A Practical Course
BayesSDT : Software for Bayesian inference with signal detection theory
The Adaptive Nature of Human Categorization
eng_Latn
34,115
Using Anytime Algorithms in Intelligent Systems
Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources
A Computational Model for Causal and Diagnostic Reasoning in Inference Systems
eng_Latn
34,116
User-oriented Bayesian identification and its configuration
Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty
Distributed Systems: Concepts and Design
eng_Latn
34,117
Split Hamiltonian Monte Carlo
SisPorto 2.0: a program for automated analysis of cardiotocograms.
Reasoning about Quantities in Natural Language
eng_Latn
34,118
Causal independence for probability assessment and inference using Bayesian networks
Operations for Learning with Graphical Models
A 3D-printed local drug delivery patch for pancreatic cancer growth suppression.
eng_Latn
34,119
A Comparison of Bottom-Up Approaches to Grounding for Templated Markov Random Fields
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
Some Natural Generalizations Of The Collatz Problem ∗
eng_Latn
34,120
Tracking Interacting Objects Optimally Using Integer Programming
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Modeling of electronic energy converter for induction heating using LabVIEW
eng_Latn
34,121
Introspective classification for robot perception
Bayesian classification with Gaussian processes
Oral leukoedema with mucosal desquamation caused by toothpaste containing sodium lauryl sulfate.
kor_Hang
34,122
Probabilistic inductive logic programming
Learning Probabilistic Models of Link Structure
Consensus Recommendations on the Aesthetic Usage of Botulinum Toxin Type A in Asians
eng_Latn
34,123
Bayesian Calibration of a Natural History Model with Application to a Population Model for Colorectal Cancer
Understanding the Metropolis-Hastings algorithm
Markov chains for exploring posterior distributions
eng_Latn
34,124
Bayesian modeling of dependency trees using hierarchical Pitman-Yor priors
Integrating Topics and Syntax
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service
eng_Latn
34,125
Gaussian particle filtering
Novel approach to nonlinear/non-Gaussian Bayesian state estimation
Learning Programs: A Hierarchical Bayesian Approach
eng_Latn
34,126
Algorithmic Learning Theory
discriminative training methods for hidden markov models : theory and experiments with perceptron algorithms .
Determination of insurance policy using neural networks and simplified models with factor analysis technique
kor_Hang
34,127
An Introduction to Variational Methods for Graphical Models
Backward Simulation in Bayesian Networks
Research Commentary: Desperately Seeking the "IT" in IT Research - A Call to Theorizing the IT Artifact
eng_Latn
34,128
Understanding Power and Rules of Thumb for Determining Sample Sizes
a power primer .
dynamic operational risk assessment with bayesian network dynamic operational risk assessment with bayesian network .
eng_Latn
34,129
An Algorithm to Determine Peer-Reviewers
Automating the assignment of submitted manuscripts to reviewers
Probabilistic inference in hybrid domains by weighted model integration
eng_Latn
34,130
Bayesian active model selection with an application to automated audiometry
Gaussian Processes for Machine Learning
Sum-product networks: A new deep architecture
eng_Latn
34,131
An unsupervised training method for non-intrusive appliance load monitoring
AN INTRODUCTION TO HIDDEN MARKOV MODELS AND BAYESIAN NETWORKS
Pretty good persuasion: a first step towards effective password security in the real world
eng_Latn
34,132
dice : the infinitely differentiable monte .
Automated Variational Inference in Probabilistic Programming
Cost-effectiveness analysis in minimally invasive spine surgery
eng_Latn
34,133
On a New Improvement-Based Acquisition Function for Bayesian Optimization
Bayesian Optimization with Unknown Constraints
Adult scoliosis : Prevalence, SF-36, and nutritional parameters in an elderly volunteer population
eng_Latn
34,134
etude de mod \ ` eles \ ` a base de r \ ' eseaux bay \ ' esiens pour l ' aide au diagnostic de tumeurs c \ ' er \ ' ebrales .
Bayesian Network Learning with Parameter Constraints
Context-Specific Independence in Bayesian Networks
fra_Latn
34,135
Bayesian Variable Selection
Understanding the Metropolis-Hastings algorithm
Explaining the Gibbs Sampler
eng_Latn
34,136
nonparametric bayesian sparse factor models with application to gene expression modelling .
Infinite latent feature models and the Indian buffet process
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data
eng_Latn
34,137
Bayesian classification with Gaussian processes
BAYESIAN LEARNING FOR NEURAL NETWORKS
Three-Dimensional Bandpass Frequency-Selective Structures With Multiple Transmission Zeros
eng_Latn
34,138
Coupled Compound Poisson Factorization
Bayesian Inference for Nonnegative Matrix Factorisation Models
a variational baysian framework for graphical models .
eng_Latn
34,139
Class vs. Student in a Bayesian Network Student Model
Knowledge tracing: Modeling the acquisition of procedural knowledge
A Unifying Review of Linear Gaussian Models
eng_Latn
34,140
Critical Infrastructure Integration Modeling and Simulation
Probabilistic reasoning in intelligent systems: Networks of plausible inference
Learning to Drive in a Day
eng_Latn
34,141
Lifted First-Order Probabilistic Inference
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
'To play or not to play': A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology
eng_Latn
34,142
A General Framework for Constrained Bayesian Optimization using Information-based Search
Bayesian Optimization with Inequality Constraints
FEATURE EXTRACTION USING SURF ALGORITHM FOR OBJECT RECOGNITION
eng_Latn
34,143
Information Selection in Noisy Environments with Large Action Spaces
Bayesian model selection for group studies
Variational free energy and the Laplace approximation
eng_Latn
34,144
Economic Possibilities for Our Children: Artificial Intelligence and the Future of Work, Education, and Leisure
THE FUTURE OF EMPLOYMENT: HOW SUSCEPTIBLE ARE JOBS TO COMPUTERISATION? ∗
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
eng_Latn
34,145
Implications of the Fourth Industrial Age on Higher Education
artificial intelligence techniques for rational decision making .
A Practical Bayesian Framework for Backpropagation Networks
eng_Latn
34,146
Methods for Probabilistic Fault Diagnosis: An Electrical Power System Case Study
A differential approach to inference in Bayesian networks
A Logical Approach to Factoring Belief Networks
kor_Hang
34,147
An Exhaustive DPLL Algorithm for Model Counting
On probabilistic inference by weighted model counting
Navigating nets: simple algorithms for proximity search
eng_Latn
34,148
Lifted graphical models: a survey
Lifted First-Order Probabilistic Inference
Probabilistic theorem proving
eng_Latn
34,149
Cyber Attacks Prediction Model Based on Bayesian Network
Using Bayesian networks for cyber security analysis
A Meta-Analysis of 137 Personality Subjective Well-Being
kor_Hang
34,150
Dynamic Bayesian Networks for Student Modeling
The Impact on Individualizing Student Models on Necessary Practice Opportunities
A Graph Partitioning Algorithm for Parallel Agent-Based Road Traffic Simulation
eng_Latn
34,151
Challenge: What is the Impact of Bayesian Networks on Learning?
A Practical Bayesian Framework for Backpropagation Networks
Openfst: a general and efficient weighted finite-state transducer library
eng_Latn
34,152
Peer Lending Risk Predictor
Estimating Continuous Distributions in Bayesian Classifiers
The Dog as a Model for Understanding Human Social Behavior
eng_Latn
34,153
Single World Intervention Graphs : A Primer
Axiomatizing Causal Reasoning
Decision support system for the glaucoma using Gabor transformation
eng_Latn
34,154
Progressive photon relaxation
Optimally combining sampling techniques for Monte Carlo rendering
Multivariate Density Modeling for Retirement Finance
eng_Latn
34,155
Towards Interactive Curation & Automatic Tuning of ML Pipelines
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Biological hierarchies and the nature of extinction
eng_Latn
34,156
bayesian decision theory in sensorimotor control .
Intuitive theories as grammars for causal inference
Location management in cellular networks
eng_Latn
34,157
Bayesian changepoint and time-varying parameter learning in regime switching volatility models
financial time series forecasting using artificial neural networks .
moral learning : conceptual foundations and normative relevance .
eng_Latn
34,158
Mining Causality of Network Events in Log Data
Minimizing faulty executions of distributed systems
Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
eng_Latn
34,159
Backplay:"Man muss immer umkehren"
A Survey of Monte Carlo Tree Search Methods
SeriesNet:A Generative Time Series Forecasting Model
deu_Latn
34,160
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland
Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection
Co-designing online privacy-related games and stories with children
eng_Latn
34,161
Replication, statistical consistency, and publication bias
A practical solution to the pervasive problems ofp values
Three case studies in the Bayesian analysis of cognitive models
eng_Latn
34,162
Bayesian modeling of dependency trees using hierarchical Pitman-Yor priors
The Infinite PCFG Using Hierarchical Dirichlet Processes
Prevalence and correlates of sleep disturbance and depressive symptoms among Chinese adolescents: a cross-sectional survey study
eng_Latn
34,163
A Live, Multiple-Representation Probabilistic Programming Environment for Novices
Operations for Learning with Graphical Models
Multivariate data analysis in pharmaceutics: a tutorial review.
eng_Latn
34,164
Bayesian Gaussian Process Latent Variable Model
Variational learning of inducing variables in sparse Gaussian processes
Hybrid genetic algorithm — Artificial neural network classifier for skin cancer detection
kor_Hang
34,165
Discriminant kernel and regularization parameter learning via semidefinite programming
Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones
Causal Theories: A Categorical Perspective on Bayesian Networks
eng_Latn
34,166
On the Relationship between Sum-Product Networks and Bayesian Networks
Compiling Bayesian Networks Using Variable Elimination
Feature discovery by competitive learning
eng_Latn
34,167
Bayesian Inference for a Covariance Matrix
Prior distributions for variance parameters in hierarchical models
a social - cognitive approach to motivation and personality .
eng_Latn
34,168
Towards a domain-specific framework for predictive analytics in manufacturing
Dynamic Bayesian Networks: Representation, Inference and Learning
Machine learning for stress detection from ECG signals in automobile drivers
eng_Latn
34,169
Lifted Inference and Learning in Statistical Relational Models
Relational Bayesian Networks
PeakVizor: Visual Analytics of Peaks in Video Clickstreams from Massive Open Online Courses
eng_Latn
34,170
structural learning of probabilistic graphical models of cumulative phenomena .
Learning Bayesian networks: The combination of knowledge and statistical data
Sobolevicanthus transvaalensis n.sp. (Cestoda: Hymenolepididae) from the Cape Teal (Anas capensis Gmelin, 1789)
eng_Latn
34,171
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters
Entropie causality anc greedy minimum entropy coupling
eng_Latn
34,172
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Scientific peer review
eng_Latn
34,173
Adaptive sequential Monte Carlo by means of mixture of experts
sigma - point kalman filters for probabilistic inference in dynamic state - space models .
Fermented food in the context of a healthy diet: how to produce novel functional foods?
eng_Latn
34,174
Contextual Equivalence for Probabilistic Programs with Continuous Random Variables and Scoring
Stan: A Probabilistic Programming Language
A mixed-methods study of mobile users' data usage practices in South Africa
eng_Latn
34,175
Welding parameter optimization based on Gaussian process regression Bayesian optimization algorithm
Robot Learning by Demonstration with local Gaussian process regression
A comparison of methods for differential expression analysis of RNA-seq data
eng_Latn
34,176
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
examining herzberg ’ s theory : improving job satisfaction among non - academic employees at a university .
eng_Latn
34,177
Bayesian changepoint and time-varying parameter learning in regime switching volatility models
Chapter 3 Recent Developments in Auxiliary Particle Filtering
Support-vector networks
eng_Latn
34,178
Diagnosing Root Causes and Generating Graphical Explanations by Integrating Temporal Causal Reasoning and CBR
A Bayesian Network approach to diagnosing the root cause of failure from Trouble Tickets
design of the suction muffler of a reciprocating compressor using doe ( theoretical and experiment approach ) .
eng_Latn
34,179
Deep Survival Analysis
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
auto - encoding variational bayes .
vie_Latn
34,180
Variational Inference using Implicit Distributions
Learning in Implicit Generative Models
The Use of Pit and Fissure Sealants—A Literature Review
eng_Latn
34,181
On Contrastive Divergence Learning
probabilistic inference using markov chain monte carlo methods .
Electronic patient portals: evidence on health outcomes, satisfaction, efficiency, and attitudes: a systematic review.
eng_Latn
34,182
A Hierarchical Bayesian Generation Framework for Vacant Parking Space Detection
A Cluster Separation Measure
Novel Applications of Machine Learning in Software Testing
eng_Latn
34,183
Data integration in machine learning
Learning Bayesian Networks is NP-Complete
Approximate Query Engines: Commercial Challenges and Research Opportunities
eng_Latn
34,184
On Poisson Graphical Models
graphical models via univariate exponential family distributions .
State-of-the-art in artificial neural network applications: A survey
fra_Latn
34,185
User Interface Tools for Navigation in Conditional Probability Tables and Elicitation of Probabilities in Bayesian Networks
Toward Normative Expert Systems : Part I The Pathfinder Project
A Mathematical Theory Of Evidence
eng_Latn
34,186
Ten Steps of EM Suffice for Mixtures of Two Gaussians
– “ mixture densities , maximum likelihood and the em algorithm .
Least squares quantization in pcm
eng_Latn
34,187
Variational Bayes for Hierarchical Mixture Models
Markov Chain Monte Carlo Convergence Diag-nostics: A Comparative Review
Visualizing mobile design pattern relationships
eng_Latn
34,188
Bayesian Optimization with Empirical Constraints ( PhD Proposal )
Gaussian Processes for Machine Learning
matrix computations ( 3 . ed . ) .
eng_Latn
34,189
Discrete Bayesian Network Classifiers: A Survey
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Refining the Nasal Dorsum with Free Diced Cartilage
kor_Hang
34,190
Adversarial Message Passing For Graphical Models
Structured Stochastic Variational Inference
Cyclopia and proboscis - the extreme end of holoprosencephaly.
eng_Latn
34,191
Bayesian networks for prediction, risk assessment and decision making in an inefficient Association Football gambling market.
A Bayesian Approach to Learning Causal Networks
mangled lower extremity : can we trust the amputation scores ? .
eng_Latn
34,192
Multi-source domain adaptation: a causal view
Causality: Models, Reasoning, and Inference
Crafting Papers on Machine Learning
fra_Latn
34,193
AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Argument Mining: A Machine Learning Perspective
kor_Hang
34,194
AD 3 : alternating directions dual decomposition for MAP inference in graphical models
Statistical Dependency Analysis with Support Vector Machines
Artificial intelligence applied to computer forensics
eng_Latn
34,195
Predicting Travel Time Reliability using Mobile Phone GPS Data
Prior distributions for variance parameters in hierarchical models
The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks
kor_Hang
34,196
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Stochastic Variational Inference
Big Data and the SP Theory of Intelligence
eng_Latn
34,197
expectation propagation for exponential families .
Expectation Propagation for approximate Bayesian inference
a family of algorithms for approximate bayesian inference .
eng_Latn
34,198
Active Learning for Parameter Estimation in Bayesian Networks
Learning Bayesian networks: The combination of knowledge and statistical data
Cyberloafing at the workplace: gain or drain on work?
eng_Latn
34,199