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AI 2019: Advances in Artificial Intelligence

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Cover of 'AI 2019: Advances in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 The Application of AlphaZero to Wargaming
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    Chapter 2 Helping an Agent Reach a Different Goal by Action Transfer in Reinforcement Learning
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    Chapter 3 Predictive Regret-Matching for Cooperating Interceptors to Defeat an Advanced Threat
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    Chapter 4 Multi-Minimax: A New AI Paradigm for Simultaneously-Played Multi-player Games
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    Chapter 5 An Empirical Study of Reward Structures for Actor-Critic Reinforcement Learning in Air Combat Manoeuvring Simulation
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    Chapter 6 Memory-Based Explainable Reinforcement Learning
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    Chapter 7 Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning
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    Chapter 8 Exploring Unknown Universes in Probabilistic Relational Models
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    Chapter 9 Efficient Multiple Query Answering in Switched Probabilistic Relational Models
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    Chapter 10 Finding ALL Answers to OBDA Queries Using Referring Expressions
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    Chapter 11 Constructing CP-Nets from Users Past Selection
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    Chapter 12 An Efficient Solver for Parametrized Difference Revision
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    Chapter 13 Answering Why-Questions Using Probabilistic Logic Programming
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    Chapter 14 DINE: A Framework for Deep Incomplete Network Embedding
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    Chapter 15 Predictive Representation Learning in Motif-Based Graph Networks
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    Chapter 16 Online K-Means Clustering with Lightweight Coresets
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    Chapter 17 Solving Safety Problems with Ensemble Reinforcement Learning
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    Chapter 18 Sharpening the BLADE: Missing Data Imputation Using Supervised Machine Learning
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    Chapter 19 Predicting Financial Well-Being Using Observable Features and Gradient Boosting
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    Chapter 20 Fast Filtering for Nearest Neighbor Search by Sketch Enumeration Without Using Matching
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    Chapter 21 Evaluating the Boundaries of Big Data Environments for Machine Learning
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    Chapter 22 Sequence-to-Sequence Imputation of Missing Sensor Data
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    Chapter 23 The Futility of Bias-Free Learning and Search
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    Chapter 24 WinoFlexi: A Crowdsourcing Platform for the Development of Winograd Schemas
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    Chapter 25 Detecting Depression in Dyadic Conversations with Multimodal Narratives and Visualizations
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    Chapter 26 An Explainable Intelligence Model for Security Event Analysis
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    Chapter 27 Using Feature Filtering Metrics as Meta-dimensions in Constructing Distributional Representations
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    Chapter 28 The Thin Line Between Hate and Profanity
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    Chapter 29 To Extend or Not to Extend? Context-Specific Corpus Enrichment
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    Chapter 30 A Machine Learning Benchmark with Meaning: Learnability and Verb Semantics
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    Chapter 31 Hybrid Words Representation for Airlines Sentiment Analysis
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    Chapter 32 Analyzing the Variation Property of Contextualized Word Representations
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    Chapter 33 Feature Importance for Biomedical Named Entity Recognition
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    Chapter 34 Frequent Semantic Patterns for Document Relevance Ranking
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    Chapter 35 Optimising Pump Scheduling for Water Distribution Networks
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    Chapter 36 Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm
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    Chapter 37 Bayesian Optimisation for Objective Functions with Varying Smoothness
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    Chapter 38 Bayesian Optimization with Discrete Variables
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    Chapter 39 Detection of Compromised Models Using Bayesian Optimization
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    Chapter 40 Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation
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    Chapter 41 Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms
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    Chapter 42 Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data
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    Chapter 43 Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling
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    Chapter 44 A Biased Random Key Genetic Algorithm with Rollout Evaluations for the Resource Constraint Job Scheduling Problem
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    Chapter 45 Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation
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    Chapter 46 LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation
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    Chapter 47 Semi-supervised Learning Using Siamese Networks
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    Chapter 48 Intrinsically Motivated Active Perception for Multi-areas View Tasks
Attention for Chapter 8: Exploring Unknown Universes in Probabilistic Relational Models
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Chapter title
Exploring Unknown Universes in Probabilistic Relational Models
Chapter number 8
Book title
AI 2019: Advances in Artificial Intelligence
Published in
arXiv, November 2019
DOI 10.1007/978-3-030-35288-2_8
Book ISBNs
978-3-03-035287-5, 978-3-03-035288-2
Authors

Tanya Braun, Ralf Möller

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2020.
All research outputs
#10,828,088
of 14,257,736 outputs
Outputs from arXiv
#272,053
of 553,886 outputs
Outputs of similar age
#214,526
of 319,091 outputs
Outputs of similar age from arXiv
#15,673
of 33,197 outputs
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So far Altmetric has tracked 553,886 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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