Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning

Statistical Relational Learning for Document Mining

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Aggregation-based feature invention and relational concept classes

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Information awareness: a prospective technical assessment

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Learning relational probability trees

Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining

Probabilistic logic learning

ACM SIGKDD Explorations Newsletter

Exploiting relational structure to understand publication patterns in high-energy physics

ACM SIGKDD Explorations Newsletter

Why collective inference improves relational classification

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Using relational knowledge discovery to prevent securities fraud

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Leveraging relational autocorrelation with latent group models

MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining

Gene classification: issues and challenges for relational learning

MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining

Leveraging Relational Autocorrelation with Latent Group Models

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Compound Classification Models for Recommender Systems

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Distribution-based aggregation for relational learning with identifier attributes

Machine Learning

Feature subset selection bias for classification learning

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

Relational Dependency Networks

The Journal of Machine Learning Research

Classification in Networked Data: A Toolkit and a Univariate Case Study

The Journal of Machine Learning Research

Performance prediction using spatial autocorrelation

SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Max-margin Classification of Data with Absent Features

The Journal of Machine Learning Research

A bias/variance decomposition for models using collective inference

Machine Learning

A relational approach to probabilistic classification in a transductive setting

Engineering Applications of Artificial Intelligence

Using graph-based metrics with empirical risk minimization to speed up active learning on networked data

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Case-Based Collective Inference for Maritime Object Classification

ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development

Structure learning for statistical relational models

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4

Utile distinctions for relational reinforcement learning

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Homophily of Neighborhood in Graph Relational Classifier

SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science

Cautious Collective Classification

The Journal of Machine Learning Research

Autocorrelation and linkage cause bias in evaluation of relational learners

ILP'02 Proceedings of the 12th international conference on Inductive logic programming

A brief survey of machine learning methods for classification in networked data and an application to suspicion scoring

ICML'06 Proceedings of the 2006 conference on Statistical network analysis

Modeling relationship strength in online social networks

Proceedings of the 19th international conference on World wide web

A new contiguity-constrained agglomerative hierarchical clustering algorithm for image segmentation

CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence

Discovering missing values in semi-structured databases

Large Scale Semantic Access to Content (Text, Image, Video, and Sound)

Global and local spatial autocorrelation in predictive clustering trees

DS'11 Proceedings of the 14th international conference on Discovery science

Community-based relational Markov networks in complex networks

RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology

Label-dependent node classification in the network

Neurocomputing

A methodology for comparing classification methods through the assessment of model stability and validity in variable selection

Decision Support Systems

Batch Mode Active Learning for Networked Data

ACM Transactions on Intelligent Systems and Technology (TIST)

A survey on statistical relational learning

AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence

Improving prediction of zinc binding sites by modeling the linkage between residues close in sequence

RECOMB'06 Proceedings of the 10th annual international conference on Research in Computational Molecular Biology

Mining ranking models from dynamic network data

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Enhanced spatiotemporal relational probability trees and forests

Data Mining and Knowledge Discovery

Transforming graph data for statistical relational learning

Journal of Artificial Intelligence Research

Social network analysis for customer churn prediction

Applied Soft Computing