Can Adaptive Conjoint Analysis perform in a Preference Logic Framework?
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[1] Eyke Hüllermeier,et al. Preference Learning , 2005, Künstliche Intell..
[2] Eyke Hllermeier,et al. Preference Learning , 2010 .
[3] Jun Wang. Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment , 1994, Decis. Support Syst..
[4] Alexander J. Smola,et al. Learning with kernels , 1998 .
[5] Jirí Síma,et al. Neural expert systems , 1995, Neural Networks.
[6] Daniel Baier,et al. Conjointanalyse : Methoden - Anwendungen - Praxisbeispiele , 2009 .
[7] Yoav Shoham,et al. Nonmonotonic Logics: Meaning and Utility , 1987, IJCAI.
[8] Padhraic Smyth,et al. Rule-Based Neural Networks for Classification and Probability Estimation , 1992, Neural Computation.
[9] R. A. Bradley,et al. RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS THE METHOD OF PAIRED COMPARISONS , 1952 .
[10] Gregory Piatetsky-Shapiro,et al. Discovery, Analysis, and Presentation of Strong Rules , 1991, Knowledge Discovery in Databases.
[11] Giorgos Zacharia,et al. Generalized robust conjoint estimation , 2005 .
[12] Daniel Baier,et al. Logic Based Conjoint Analysis Using the Commuting Quantum Query Language , 2013, Algorithms from and for Nature and Life.
[13] K. Obermayer,et al. Supervised learning of preference relations , 1998 .
[14] R. Likert. “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.
[15] K. Arrow. A Difficulty in the Concept of Social Welfare , 1950, Journal of Political Economy.
[16] Gerald Tesauro,et al. Connectionist Learning of Expert Preferences by Comparison Training , 1988, NIPS.
[17] Vithala R. Rao,et al. Conjoint Measurement- for Quantifying Judgmental Data , 1971 .
[18] George F. Schumm. Transitivity, preference and indifference , 1987 .
[19] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[20] Padhraic Smyth,et al. An Information Theoretic Approach to Rule Induction from Databases , 1992, IEEE Trans. Knowl. Data Eng..
[21] K. Lancaster. A New Approach to Consumer Theory , 1966, Journal of Political Economy.
[22] Eyke Hüllermeier,et al. Pairwise Preference Learning and Ranking , 2003, ECML.
[23] Salem Benferhat,et al. Qualitative choice logic , 2004, Artif. Intell..
[24] F. B. Vernadat,et al. Decisions with Multiple Objectives: Preferences and Value Tradeoffs , 1994 .
[25] Gerd Wagner,et al. Logic Programming with Strong Negation and Inexact Predicates , 1991, J. Log. Comput..
[26] Joseph Y. Halpern,et al. Plausibility measures and default reasoning , 1996, JACM.
[27] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[28] Daniel Baier. Conjoint Measurement in der Innovationsmarktforschung , 2007 .
[29] Eyke Hüllermeier,et al. Label ranking by learning pairwise preferences , 2008, Artif. Intell..
[30] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[31] Rakesh Agarwal,et al. Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.
[32] P. Hijek. The New Version of the GUHA Procedure ASSOC (Generating Hypotheses on Associations) — Mathematical Foundations , 1984 .
[33] Ron Sun,et al. Integrating rules and connectionism for robust commonsense reasoning , 1994, Sixth-generation computer technology series.
[34] Nils J. Nilsson,et al. Probabilistic Logic * , 2022 .
[35] Stephen I. Gallant,et al. Connectionist expert systems , 1988, CACM.
[36] Ingo Schmitt,et al. QQL: A DB&IR Query Language , 2007, The VLDB Journal.
[37] Richard M. Johnson. Trade-Off Analysis of Consumer Values , 1974 .
[38] Adrian Giurca,et al. Adaptive conjoint analysis. Training data: Knowledge or beliefs?: A logical perspective of preferences as beliefs , 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).
[39] Manfred K. Warmuth,et al. The Weighted Majority Algorithm , 1994, Inf. Comput..
[40] Peter Gärdenfors,et al. On the logic of theory change: Partial meet contraction and revision functions , 1985, Journal of Symbolic Logic.
[41] R. Luce,et al. Simultaneous conjoint measurement: A new type of fundamental measurement , 1964 .
[42] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[43] Eyke Hüllermeier,et al. Non-additive Utility Functions: Choquet Integral Versus Weighted DNF Formulas , 2014 .
[44] Yoram Singer,et al. Learning to Order Things , 1997, NIPS.
[45] S. Grossberg,et al. RAMBaf: A Connectionist Expert System That Learns by Example , 1987 .
[46] Adrian Giurca,et al. Performing conjoint analysis within a logic-based framework , 2011, 2011 Federated Conference on Computer Science and Information Systems (FedCSIS).
[47] Jehoshua Eliashberg,et al. Consumer Preference Judgments: An Exposition with Empirical Applications , 1980 .
[48] Peter Haddawy,et al. Preference Elicitation via Theory Refinement , 2003, J. Mach. Learn. Res..
[49] L. A. Goodman,et al. Social Choice and Individual Values , 1951 .
[50] N. Anderson. Foundations of information integration theory , 1981 .