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Markov logic networks

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Learning Probabilistic Relational Models

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Bayesian Logic ProgramsPreprint

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Probabilistic logic programming and Bayesian networks

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The graph neural network model

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DeepWalk: online learning of social representations

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Knowledge Graphs

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Practical Recommendations for Gradient-Based Training of Deep Architectures

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A Three-Way Model for Collective Learning on Multi-Relational Data

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The Unreasonable Effectiveness of Data

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A Review of Relational Machine Learning for Knowledge Graphs

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A Survey of Statistical Network Models

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Relational learning via latent social dimensions

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Applications of artificial intelligence in transport: An overview

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Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas

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Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

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Human Activity Recognition and Pattern Discovery

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A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation

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Neural Network for Graphs: A Contextual Constructive Approach

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Attention in Natural Language Processing

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Relational retrieval using a combination of path-constrained random walks

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Holographic embeddings of knowledge graphs

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To join or not to join

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SimplE Embedding for Link Prediction in Knowledge Graphs

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Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement LearningPreprint

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Differentiable Learning of Logical Rules for Knowledge Base ReasoningPreprint

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Combining instance-based learning and logistic regression for multilabel classification

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Quantum machine learning: a classical perspective

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KnowRob: A knowledge processing infrastructure for cognition-enabled robots

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Leveraging social media networks for classification

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Conditional random fields for activity recognition

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Knowledge transfer via multiple model local structure mapping

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Hierarchical Bayesian nonparametric models with applications

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Structure-Aware Review Mining and Summarization

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Markov Logic

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How cognitive modeling can benefit from hierarchical Bayesian models

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Intelligent Computing: The Latest Advances, Challenges, and Future

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Trust region Newton methods for large-scale logistic regression

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Statistical predicate invention

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Transfer Learning

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MCDB

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fLDA

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Unsupervised semantic parsing

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Joint entity and relation extraction based on a hybrid neural network

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Probabilistic reasoning with answer sets

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ESTIMATING TIME-VARYING NETWORKS

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Deep Reinforcement Learning

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Scalable learning of collective behavior based on sparse social dimensions

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On community outliers and their efficient detection in information networks

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Combining Instance-Based Learning and Logistic Regression for Multilabel Classification

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Joint inference in information extraction

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Economic reasoning and artificial intelligence

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Discovering urban activity patterns in cell phone data

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Efficient Graphlet Counting for Large Networks

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Event Modeling and Recognition Using Markov Logic Networks

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Automatic classification of sentences to support Evidence Based Medicine.

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Understanding Video Events: A Survey of Methods for Automatic Interpretation of Semantic Occurrences in Video

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Lifted first-order belief propagation

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Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software

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A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living

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A Bayesian analysis of human decision-making on bandit problems

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Reservoir performance under uncertainty in hydrologic impacts of climate change

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Joint unsupervised coreference resolution with Markov logic

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Mining advisor-advisee relationships from research publication networks

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Inference and learning in probabilistic logic programs using weighted Boolean formulas

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Real-time captioning by groups of non-experts

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Machine learning in materials design and discovery: Examples from the present and suggestions for the future

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A Short Introduction to Probabilistic Soft Logic

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Entity Linking: Finding Extracted Entities in a Knowledge Base

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Cascading Power Outages Propagate Locally in an Influence Graph that is not the Actual Grid Topology

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Adaptive Convolution for Multi-Relational Learning

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Recognizing textual entailment models and applications

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Efficient Weight Learning for Markov Logic Networks

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Lifted Probabilistic Inference with Counting Formulas

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Statistical Relational Artificial Intelligence

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Hinge-Loss Markov Random Fields and Probabilistic Soft LogicPreprint

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ERACER

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Inference and learning in probabilistic logic programs using weighted Boolean formulas

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An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat

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Estimating time-varying networks

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A stopping criterion for active learning

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Artificial Intelligence

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A retrospective of knowledge graphs

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The Cyber Security Modeling Language: A Tool for Assessing the Vulnerability of Enterprise System Architectures

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A comprehensive overview of knowledge graph completion

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Abductive learning: towards bridging machine learning and logical reasoning

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Coupled Behavior Analysis with Applications

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Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks

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NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

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Fine-Grained Sentiment Analysis with Structural Features

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Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach

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Ontology-based semi-supervised conditional random fields for automated information extraction from bridge inspection reports

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Probabilistic Similarity LogicPreprint

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Learning to Infer Social Ties in Large Networks

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Discriminative Deep Random Walk for Network Classification

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Neural-Symbolic Learning and Reasoning: Contributions and Challenges

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Alan Turing and the development of Artificial Intelligence

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Coupling learning of complex interactions

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Aspect and Entity Extraction for Opinion Mining

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From bias to opinion

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Activity recognition using semi-Markov models on real world smart home datasets

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3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields

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Towards a universal wordnet by learning from combined evidence

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Predicting Disease Transmission from Geo-Tagged Micro-Blog Data

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Statistical Relational Learning

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Statistical relational learning and probabilistic programming

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Statistical relational learning: a logical approach

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Statistical relational learning using ProbLog

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Probabilistic Logic and Relational Models

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