Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The nature of statistical learning theory
The nature of statistical learning theory
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Probabilistic frame-based systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Discovering Test Set Regularities in Relational Domains
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning probabilistic models of link structure
The Journal of Machine Learning Research
Statistical Relational Learning for Document Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Information awareness: a prospective technical assessment
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Link mining: a new data mining challenge
ACM SIGKDD Explorations Newsletter
Why collective inference improves relational classification
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Relational sequential inference with reliable observations
ICML '04 Proceedings of the twenty-first international conference on Machine learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning associative Markov networks
ICML '04 Proceedings of the twenty-first international conference on Machine learning
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Using relational knowledge discovery to prevent securities fraud
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
As we may perceive: inferring logical documents from hypertext
Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
Mining knowledge from text using information extraction
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Interactive global illumination in dynamic participating media using selective photon tracing
Proceedings of the 21st spring conference on Computer graphics
Leveraging relational autocorrelation with latent group models
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Collective multi-label classification
Proceedings of the 14th ACM international conference on Information and knowledge management
Learning the structure of Markov logic networks
ICML '05 Proceedings of the 22nd international conference on Machine learning
2D Conditional Random Fields for Web information extraction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Leveraging Relational Autocorrelation with Latent Group Models
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Discriminatively Trained Markov Model for Sequence Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Machine Learning
ACM SIGKDD Explorations Newsletter
Online decoding of Markov models under latency constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
Cost-sensitive learning with conditional Markov networks
ICML '06 Proceedings of the 23rd international conference on Machine learning
Latent linkage semantic kernels for collective classification of link data
Journal of Intelligent Information Systems
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Collective information extraction with relational Markov networks
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
An effective two-stage model for exploiting non-local dependencies in named entity recognition
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Collective content selection for concept-to-text generation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Sequential inference with reliable observations: learning to construct force-dynamic models
Artificial Intelligence
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
Learning and inferring transportation routines
Artificial Intelligence
Supervised semantic labeling of places using information extracted from sensor data
Robotics and Autonomous Systems
Relational Dependency Networks
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Efficient inference with cardinality-based clique potentials
Proceedings of the 24th international conference on Machine learning
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Practical use of non-local features for statistical spoken language understanding
Computer Speech and Language
Exploiting time-varying relationships in statistical relational models
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Applying link-based classification to label blogs
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
RELATIONAL DATA MINING AND ILP FOR DOCUMENT IMAGE UNDERSTANDING
Applied Artificial Intelligence
Effective label acquisition for collective classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Using ghost edges for classification in sparsely labeled networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Cost-sensitive learning with conditional Markov networks
Data Mining and Knowledge Discovery
Learning to assign degrees of belief in relational domains
Machine Learning
Structured machine learning: the next ten years
Machine Learning
A bias/variance decomposition for models using collective inference
Machine Learning
First-Order Probabilistic Languages: Into the Unknown
Inductive Logic Programming
Exact and Approximate Inference for Annotating Graphs with Structural SVMs
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Loopy Propagation in a Probabilistic Description Logic
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Force deployment analysis with generalized grammar
Information Fusion
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Proceedings of the VLDB Endowment
Classifying networked entities with modularity kernels
Proceedings of the 17th ACM conference on Information and knowledge management
Multirelational classification: a multiple view approach
Knowledge and Information Systems
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Improving music genre classification using collaborative tagging data
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Applying Link-Based Classification to Label Blogs
Advances in Web Mining and Web Usage Analysis
Deep transfer via second-order Markov logic
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Relational learning via latent social dimensions
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
A Fast Method for Property Prediction in Graph-Structured Data from Positive and Unlabelled Examples
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Learning models of macrobehavior in complex adaptive systems
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Identifying graphs from noisy and incomplete data
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
Scaling textual inference to the web
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Within-Network Classification Using Local Structure Similarity
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Max-Margin Weight Learning for Markov Logic Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Discriminative training of Markov logic networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Cautious inference in collective classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Lifted probabilistic inference with counting formulas
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Instance-based AMN classification for improved object recognition in 2D and 3D laser range data
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Reflect and correct: A misclassification prediction approach to active inference
ACM Transactions on Knowledge Discovery from Data (TKDD)
Practical Markov logic containing first-order quantifiers with application to identity uncertainty
CHSLP '06 Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
A simple-transition model for relational sequences
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning coordination classifiers
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Relational object maps for mobile robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Sequential inference with reliable observations: Learning to construct force-dynamic models
Artificial Intelligence
Journal of Management Information Systems
Jointly identifying temporal relations with Markov Logic
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
A higher order collective classifier for detecting andclassifying network events
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Cautious Collective Classification
The Journal of Machine Learning Research
Local soft belief updating for relational classification
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Learning to assign degrees of belief in relational domains
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Bias/variance analysis for relational domains
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Learning with kernels and logical representations
Probabilistic inductive logic programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
Document classification utilising ontologies and relations between documents
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Document structure meets page layout: loopy random fields for web news content extraction
Proceedings of the 10th ACM symposium on Document engineering
Improving verbose queries using subset distribution
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Identifying graphs from noisy and incomplete data
ACM SIGKDD Explorations Newsletter
SNAKDD'08 Proceedings of the Second international conference on Advances in social network mining and analysis
Graph regularized transductive classification on heterogeneous information networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Discriminative graphical models for faculty homepage discovery
Information Retrieval
Discovering missing values in semi-structured databases
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Exploiting statistical and relational information on the web and in social media
Proceedings of the fourth ACM international conference on Web search and data mining
Modeling the evolution of discussion topics and communication to improve relational classification
Proceedings of the First Workshop on Social Media Analytics
Stochastic Representation and Recognition of High-Level Group Activities
International Journal of Computer Vision
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Tuffy: scaling up statistical inference in Markov logic networks using an RDBMS
Proceedings of the VLDB Endowment
Nonlinear relational markov networks with an application to the game of go
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Collective classification of congressional floor-debate transcripts
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
A community-based pseudolikelihood approach for relationship labeling in social networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Probabilistic logic reasoning about traffic scenes
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Expansion finding for given acronyms using conditional random fields
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Leveraging social media networks for classification
Data Mining and Knowledge Discovery
Constraint propagation for efficient inference in Markov logic
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
A nonparametric classification method based on K-associated graphs
Information Sciences: an International Journal
Community-based relational Markov networks in complex networks
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Network node label acquisition and tracking
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Label-dependent node classification in the network
Neurocomputing
Learning conditional random fields with latent sparse features for acronym expansion finding
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Proceedings of the 20th ACM international conference on Information and knowledge management
Collective prediction with latent graphs
Proceedings of the 20th ACM international conference on Information and knowledge management
Boosting tuple propagation in multi-relational classification
Proceedings of the 15th Symposium on International Database Engineering & Applications
Relational learning: statistical approach versus logical approach in document image understanding
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Batch Mode Active Learning for Networked Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Fisher kernels for relational data
ECML'06 Proceedings of the 17th European conference on Machine Learning
TildeCRF: conditional random fields for logical sequences
ECML'06 Proceedings of the 17th European conference on Machine Learning
Bias-Free hypothesis evaluation in multirelational domains
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Object identification with attribute-mediated dependences
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Robust collective classification with contextual dependency network models
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Towards an integrated protein-protein interaction network
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Deriving a stationary dynamic bayesian network from a logic program with recursive loops
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology
Data Mining and Knowledge Discovery
On supervised mining of dynamic content-based networks1
Statistical Analysis and Data Mining
Coupled behavior analysis for capturing coupling relationships in group-based market manipulations
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Structured probabilistic inference
International Journal of Approximate Reasoning
Multiple location profiling for users and relationships from social network and content
Proceedings of the VLDB Endowment
User-driven relational models for entity-relation search and extraction
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
Collective classification for fine-grained information status
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Hierarchical chunk-to-string translation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Improved parsing and POS tagging using inter-sentence consistency constraints
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
A regularization framework in polar coordinates for transductive learning in networked data
Information Sciences: an International Journal
Meta path-based collective classification in heterogeneous information networks
Proceedings of the 21st ACM international conference on Information and knowledge management
Study on the scheme of tianjin area e-commerce platform construction
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Collective inference for network data with copula latent markov networks
Proceedings of the sixth ACM international conference on Web search and data mining
Anomaly, event, and fraud detection in large network datasets
Proceedings of the sixth ACM international conference on Web search and data mining
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Simple decision forests for multi-relational classification
Decision Support Systems
A joint classification method to integrate scientific and social networks
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Multi-label relational neighbor classification using social context features
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Active learning and inference method for within network classification
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Uncovering collusive spammers in Chinese review websites
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Automated probabilistic modeling for relational data
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Single network relational transductive learning
Journal of Artificial Intelligence Research
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In many supervised learning tasks, the entities to be labeled are related to each other in complex ways and their labels are not independent. For example, in hypertext classification, the labels of linked pages are highly correlated. A standard approach is to classify each entity independently, ignoring the correlations between them. Recently, Probabilistic Relational Models, a relational version of Bayesian networks, were used to define a joint probabilistic model for a collection of related entities. In this paper, we present an alternative framework that builds on (conditional) Markov networks and addresses two limitations of the previous approach. First, undirected models do not impose the acyclicity constraint that hinders representation of many important relational dependencies in directed models. Second, undirected models are well suited for discriminative training, where we optimize the conditional likelihood of the labels given the features, which generally improves classification accuracy. We show how to train these models effectively, and how to use approximate probabilistic inference over the learned model for collective classification of multiple related entities. We provide experimental results on a webpage classification task, showing that accuracy can be significantly improved by modeling relational dependencies.