Induction over Strategic Agents

Published Online:https://doi.org/10.1287/isre.1090.0272

References

  • Aytug H., Boylu F., Koehler G. J. Learning in the presence of self-interested agents. Proc. 39th Annual Hawaii Internat. Conf. System Sci. (HICSS'06) (2006) Kauai, Hawaii:158bCrossrefGoogle Scholar
  • Bhattacharyya S., Tharakunnel K. K. Reinforcement learning in leader-follower multiagent systems: Framework and an algorithm. (2005) (Information Decision Sciences, University of Illinois, Chicago) Google Scholar
  • Boylu F. Strategic learning. (2006) . Unpublished doctoral dissertation, Decision and Information Sciences, University of Florida, GainesvilleGoogle Scholar
  • Boylu F., Aytug H., Koehler G. J. Using a genetic algorithm to solve the strategic learning problem. (2007) . Decision and Information Sciences, University of Florida, GainesvilleGoogle Scholar
  • Cristianini N., Shawe-Taylor J.An Introduction to Support Vector Machines and Other Kernel-Based Methods (2000) (Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Dalvi N., Domingos P., Sanghai M. S., Verma D. Adversarial classification. Proc. Tenth ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (KDD) (2004) (Seattle)99–108CrossrefGoogle Scholar
  • Eisenbeis R. Discussion, supplement to Srinivasan, V. and Kim, Y. H. 1987. Credit granting: A comparative analysis of classification procedures. J. Finance (1987) 42(3):665–680CrossrefGoogle Scholar
  • Fung G., Mangasarian O. L. A feature selection Newton method for support vector machine classification. (2002) . Data Mining Institute Technical Report 02–03, University of Wisconsin, MadisonGoogle Scholar
  • Genton M. G. Classes of kernels for machine-learning: A statistics perspective. J. Machine Learn. Res. (2001) 2:299–312Google Scholar
  • Hand D. J.Discrimination and Classification (1981) (John Wiley & Sons, New York) Google Scholar
  • ILOG, ILOG CPLEXReference Manual and User Manual (2005) 9.1.(ILOG, Gentilly, France) Google Scholar
  • Jiang Z., Mookerjee V. S., Sarkar S. Lying on the Web: Implications for expert systems redesign. Inform. System Res. (2005) 16(2):131–148LinkGoogle Scholar
  • Kaelbling L. P., Littman M. L., Moore A. W. Reinforcement learning: A survey. J. Artificial Intelligence Res. (1996) 4:237–285CrossrefGoogle Scholar
  • Laffont J. J., Martimort D.The Theory of Incentives: The Principal-Agent Model (2002) (Princeton University Press, Princeton, NJ) CrossrefGoogle Scholar
  • Littman M., Stone P. Implicit negotiation in repeated games. Proc. Eighth Internat. Workshop Agent Theories, Architectures, and Languages (ATAL 2001) (2001) Seattle:393–404Google Scholar
  • Mannino M., Koushik M. The cost minimizing inverse classification problem: A genetic algorithm approach. Decision Support Systems (2000) 29(3):283–300CrossrefGoogle Scholar
  • Maudes J., Rodríguez J., García-Osorio C., Haindl M., Kittler J., Roli F.Multiple Classifier Systems (2007) 4472(Springer-Verlag, Berlin/Heidelberg) 72–81Lecture Notes in Computer ScienceGoogle Scholar
  • Melville P., Saar-Tsechansky M., Provost F., Mooney R. J. Active feature acquisition for classifier induction. Proc. 4th Internat. Conf. Data Mining (ICDM-2004) (2004) Brighton, UK:483–486CrossrefGoogle Scholar
  • Mookerjee V. S. Debiasing training data for inductive expert system construction. IEEE Trans. Knowledge Data Engrg. (2001) 13(3):497–512CrossrefGoogle Scholar
  • Porter J. A booming business in MBA coaches. (2007) . http://www.businessweek.com/bschools/content/may2007/bs20070524_906621.htmGoogle Scholar
  • Provost F. J. Toward economic machine learning and utility based data mining. Proc. ACM SIGKDD Workshop Utility-Based Data Mining (2005) Chicago:1CrossrefGoogle Scholar
  • Quinlan J. R. Induction of decision trees. Machine Learn. (1986) 1:81–106CrossrefGoogle Scholar
  • Sutton R. S., Barto A. G.Reinforcement Learning: An Introduction (1998) (MIT Press, Cambridge, MA) Google Scholar
  • Tam K. Y., Kiang M. Y. Managerial applications of neural networks: The case of bank failure predictions. Management Sci. (1992) 38(7):926–947LinkGoogle Scholar
  • Trunk P. B-school confidential: MBAs may be obsolete. (2007) . http://finance.yahoo.com/expert/article/careerist/47722Google Scholar
  • Vapnik V.Statistical Learning Theory (1998) (John Wiley & Sons, New York) Google Scholar
  • Vapnik V. An overview of statistical learning theory. IEEE Trans. Neural Networks (1999) 10:988–999CrossrefGoogle Scholar
  • Von Stackelberg H.The Theory of Market Economy (1952) (Oxford University Press, London, UK) Google Scholar
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