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A general model for automated business diagnosis

European journal of operational research, 2001-05, Vol.130 (3), p.623-637

2001

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Prior Knowledge in Economic Applications of Data Mining

Lecture notes in computer science, 2000, Vol.1910, p.395-400

2000

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Real-Time Outlier Detection in Time Series Data of Water Sensors

Advanced Analytics and Learning on Temporal Data, 2020, Vol.12588, p.155-170

2020

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Causal Discovery from Databases with Discrete and Continuous Variables

Probabilistic Graphical Models, 2014, Vol.8754, p.442-457

2014

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A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs

Probabilistic Graphical Models, 2014, Vol.8754, p.302-317

2014

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Extended Tree Augmented Naive Classifier

Probabilistic Graphical Models, 2014, Vol.8754, p.176-189

2014

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An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints

Probabilistic Graphical Models, 2014, Vol.8754, p.581-596

2014

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Learning Marginal AMP Chain Graphs under Faithfulness

Probabilistic Graphical Models, 2014, Vol.8754, p.382-395

2014

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Inhibited Effects in CP-Logic

Probabilistic Graphical Models, 2014, Vol.8754, p.350-365

2014

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Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification

Probabilistic Graphical Models, 2014, Vol.8754, p.519-534

2014

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A model of explanation for financial knowledge-based systems

Computer Science in Economics and Management, 1992-05, Vol.5 (2), p.119-132

Feelders, A. J.

1992

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Discrete Bayesian Network Interpretation of Cox's Proportional Hazards Model

Probabilistic Graphical Models, 2014, Vol.8754, p.238-253

2014

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Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery

Probabilistic Graphical Models, 2014, Vol.8754, p.487-502

2014

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Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts

Probabilistic Graphical Models, 2014, Vol.8754, p.65-80

2014

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Compression of Bayesian Networks with NIN-AND Tree Modeling

Probabilistic Graphical Models, 2014, Vol.8754, p.551-566

2014

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Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming

Probabilistic Graphical Models, 2014, Vol.8754, p.396-408

2014

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A Pairwise Class Interaction Framework for Multilabel Classification

Probabilistic Graphical Models, 2014, Vol.8754, p.17-32

2014

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Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

Probabilistic Graphical Models, 2014, Vol.8754, p.426-441

2014

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Learning Gated Bayesian Networks for Algorithmic Trading

Probabilistic Graphical Models, 2014, Vol.8754, p.49-64

2014

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Robustifying the Viterbi Algorithm

Probabilistic Graphical Models, 2014, Vol.8754, p.160-175

2014

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An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper

Probabilistic Graphical Models, 2014, Vol.8754, p.535-550

2014

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Bayesian Networks with Function Nodes

Probabilistic Graphical Models, 2014, Vol.8754, p.286-301

2014

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Structural Sensitivity for the Knowledge Engineering of Bayesian Networks

Probabilistic Graphical Models, 2014, Vol.8754, p.1-16

2014

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Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present

Probabilistic Graphical Models, 2014, Vol.8754, p.471-486

2014

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On SPI-Lazy Evaluation of Influence Diagrams

Probabilistic Graphical Models, 2014, Vol.8754, p.97-112

2014

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A general model for automated business diagnosis

Prior Knowledge in Economic Applications of Data Mining

Real-Time Outlier Detection in Time Series Data of Water Sensors

Causal Discovery from Databases with Discrete and Continuous Variables

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs

Extended Tree Augmented Naive Classifier

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints

Learning Marginal AMP Chain Graphs under Faithfulness

Inhibited Effects in CP-Logic

Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification

A model of explanation for financial knowledge-based systems

Discrete Bayesian Network Interpretation of Cox's Proportional Hazards Model

Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery

Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts

Compression of Bayesian Networks with NIN-AND Tree Modeling

Learning Maximum Weighted (k+1)-Order Decomposable Graphs by Integer Linear Programming

A Pairwise Class Interaction Framework for Multilabel Classification

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

Learning Gated Bayesian Networks for Algorithmic Trading

Robustifying the Viterbi Algorithm

An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper

Bayesian Networks with Function Nodes

Structural Sensitivity for the Knowledge Engineering of Bayesian Networks

Learning Bayesian Network Structures When Discrete and Continuous Variables Are Present

On SPI-Lazy Evaluation of Influence Diagrams

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