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Diagnosis of Deep Discrete-Event Systems

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2020; 69 ()

An abduction-based diagnosis technique for a class of discrete-event systems (DESs), called deep DESs (DDESs), is presented. A DDES has a tree structu......

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2020; 69 ()

Performing efficient inference on high dimensional discrete Bayesian Networks (BNs) is challenging. When using exact inference methods the space compl......

Polynomial and Exponential Bounded Logic Programs with Function Symbols: Some New Decidable Classes

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 64 ()

A logic program with function symbols is called finitely ground if there is a finite propositional logic program whose stable models are exactly the s......

JIF:1.82

Multi-scale Hierarchical Residual Network for Dense Captioning

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 64 ()

Recent research on dense captioning based on the recurrent neural network and the convolutional neural network has made a great progress. However, map......

JIF:1.82

A Generalisation of AGM Contraction and Revision to Fragments of First-Order Logic

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 64 ()

AGM contraction and revision assume an underlying logic that contains propositional logic. Consequently, this assumption excludes many useful logics s......

JIF:1.82

DSTL: Solution to Limitation of Small Corpus in Speech Emotion Recognition

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 66 ()

Traditional machine learning methods share a common hypothesis: training and testing datasets must be in a common feature space with the same distribu......

JIF:1.82

Formulas Free From Inconsistency: An Atom-Centric Characterization in Priest's Minimally Inconsistent LP

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 66 ()

As one of fundamental properties to characterize inconsistency measures for knowledge bases, the property of free formula independence well captures t......

JIF:1.82

Interpretable Charge Prediction for Criminal Cases with Dynamic Rationale Attention

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2019; 66 ()

Charge prediction which aims to determine appropriate charges for criminal cases based on textual fact descriptions, is an important technology in the......

JIF:1.82

Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2018; 62 ()

We consider the problem of detecting norm violations in open multi-agent systems (MAS). We show how, using ideas from scrip systems, we can design mec......

JIF:1.82

Transition-Based Neural Word Segmentation Using Word-Level Features

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2018; 63 ()

Character-based and word-based methods are two different solutions for Chinese word segmentation, the former exploiting sequence labeling models over ......

JIF:1.82

New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2017; 58 ( )

We identify two families of canonical knowledge compilation languages. Both families augment ROBDD with conjunctive decomposition bounded by an intege......

JIF:1.26

Local Search for MinimumWeight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2017; 58 ( )

The Minimum Weight Dominating Set (MWDS) problem is an important generalization of the Minimum Dominating Set (MDS) problem with extensive application......

JIF:1.26

A Neutral Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2017; 58 ( )

We propose a neural probabilistic structured-prediction method for transition-based natural language processing, which integrates beam search and cont......

JIF:1.26

Decision-Theoretic Planning under Anonymity in Agent Populations

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2017; 59 ( )

We study the problem of self-interested planning under uncertainty in settings shared with more than a thousand other agents, each of which plans at i......

JIF:1.26

Perturbation Training for Human-Robot Teams

期刊: JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2017; 59 ( )

In this work, we design and evaluate a computational learning model that enables a human-robot team to co-develop joint strategies for performing nove......

JIF:1.26

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