An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
The cost-minimizing inverse classification problem: a genetic algorithm approach
Decision Support Systems
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Credit rating analysis with support vector machines and neural networks: a market comparative study
Decision Support Systems - Special issue: Data mining for financial decision making
Lying on the Web: Implications for Expert Systems Redesign
Information Systems Research
Economical active feature-value acquisition through Expected Utility estimation
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Reinforcement learning for active model selection
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Noisy information value in utility-based decision making
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Learning policies for sequential time and cost sensitive classification
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Improving classifier utility by altering the misclassification cost ratio
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
One-Benefit learning: cost-sensitive learning with restricted cost information
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Does cost-sensitive learning beat sampling for classifying rare classes?
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Toward economic machine learning and utility-based data mining
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Cost-sensitive classifier evaluation
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
A process model to develop an internal rating system: sovereign credit ratings
Decision Support Systems
A machine learning approach to web page filtering using content and structure analysis
Decision Support Systems
Predicting going concern opinion with data mining
Decision Support Systems
Decision-Centric Active Learning of Binary-Outcome Models
Information Systems Research
Induction over Strategic Agents
Information Systems Research
Machine learning and genetic algorithms in pharmaceutical development and manufacturing processes
Decision Support Systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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In this paper we present a merging, and hence an extension, of two recent learning methods, utility-based learning and strategic or adversarial learning. Recently, utility-based learning brings to the forefront the learner's utility function during induction. Strategic learning anticipates strategic activity in the induction process when the instances are intelligent agents such as in classification problems involving people or organizations. We call the resulting merged model principal-agent learning and present an induction process and example. Our model collapses to utility-based models when the agents do not engage in strategic behavior and to strategic learning when the learner's utility is not considered.