Stimulus bias, asymmetric similarity, and classification
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[1] F ATTNEAVE,et al. Dimensions of similarity. , 1950, The American journal of psychology.
[2] R. Shepard. Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space , 1957 .
[3] E. Rothkopf. A measure of stimulus similarity and errors in some paired-associate learning tasks. , 1957, Journal of experimental psychology.
[4] R. Shepard. Stimulus and response generalization: tests of a model relating generalization to distance in psychological space. , 1958, Journal of experimental psychology.
[5] R. Shepard. Stimulus and response generalization: deduction of the generalization gradient from a trace model. , 1958, Psychological review.
[6] W. R. Garner,et al. Goodness of pattern and pattern uncertainty. , 1963 .
[7] Eugene Galanter,et al. Handbook of mathematical psychology: I. , 1963 .
[8] R N SHEPARD,et al. Analysis of Proximities as a Technique for the Study of Information Processing in Man1 , 1963, Human factors.
[9] R. Shepard. Attention and the metric structure of the stimulus space. , 1964 .
[10] D. LaBerge,et al. PRESENTATION PROBABILITY AND CHOICE TIME. , 1964, Journal of experimental psychology.
[11] P. Bertelson,et al. Choice Reaction Time as a Function of Stimulus versus Response Relative Frequency of Occurrence , 1966, Nature.
[12] W. R. Garner,et al. The structure of visual pattern associates and pattern goodness , 1966 .
[13] D. M. Green,et al. Signal detection theory and psychophysics , 1966 .
[14] A. Tversky. Intransitivity of preferences. , 1969 .
[15] D. LaBerge,et al. Functional identification of perceptual and response biases in choice reaction time. , 1969, Journal of experimental psychology.
[16] W. R. Garner. Good patterns have few alternatives. , 1970, American scientist.
[17] James R. Pomerantz,et al. Stimules configuration in selective attention tasks , 1973 .
[18] E. Rosch. ON THE INTERNAL STRUCTURE OF PERCEPTUAL AND SEMANTIC CATEGORIES1 , 1973 .
[19] F. Moore. Cognitive development and the acquisition of language , 1973 .
[20] W. R. Garner,et al. The effect of goodness onencoding time in visual pattern discrimination , 1974 .
[21] W. R. Garner. The Processing of Information and Structure , 1974 .
[22] E. Rosch. Cognitive reference points , 1975, Cognitive Psychology.
[23] A. Tversky,et al. Similarity of rectangles: An analysis of subjective dimensions , 1975 .
[24] Stephen E. Fienberg,et al. Discrete Multivariate Analysis: Theory and Practice , 1976 .
[25] J. Carroll,et al. Spatial, non-spatial and hybrid models for scaling , 1976 .
[26] Walter Schneider,et al. Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory. , 1977 .
[27] G R Lockhead,et al. Classifying intergral stimuli. , 1977, Journal of experimental psychology. Human perception and performance.
[28] A. Tversky,et al. Additive similarity trees , 1977 .
[29] A. Tversky. Features of Similarity , 1977 .
[30] R. Nickerson. Comment on W. R. Garner's "Selective attention to attributes and to stimuli." , 1978 .
[31] W. R. Garner,et al. Selective attention to attributes and to stimuli. , 1978, Journal of experimental psychology. General.
[32] D. Kornbrot,et al. Theoretical and empirical comparison of Luce’s choice model and logistic Thurstone model of categorical judgment , 1978, Perception & psychophysics.
[33] Douglas L. Medin,et al. Context theory of classification learning. , 1978 .
[34] John C. Gower,et al. Graphical Representation of Asymmetric Matrices , 1978 .
[35] W. R. Garner,et al. Letter identification as a function of type of perceptual limitation and type of attribute. , 1978, Journal of experimental psychology. Human perception and performance.
[36] Amos Tversky,et al. Studies of similarity , 1978 .
[37] J. Barra,et al. Recent Developments in Statistics , 1978 .
[38] E. Rosch,et al. Cognition and Categorization , 1980 .
[39] E. Holman. Monotonic models for asymmetric proximities , 1979 .
[40] G C Gilmore,et al. Multidimensional letter similarity derived from recognition errors , 1979, Perception & psychophysics.
[41] D. M. Green,et al. On the prediction of confusion matrices from similarity judgments , 1979 .
[42] R N Shepard,et al. Multidimensional Scaling, Tree-Fitting, and Clustering , 1980, Science.
[43] J T Townsend,et al. Perceptual sampling of orthogonal straight line features , 1981, Psychological research.
[44] Edward E. Smith,et al. Strategies and classification learning , 1981 .
[45] G. Keren,et al. Recognition models of alphanumeric characters. , 1981, Perception & psychophysics.
[46] W. Estes,et al. Similarity-related channel interactions in visual processing. , 1982, Journal of experimental psychology. Human perception and performance.
[47] A. Tversky,et al. Similarity, separability, and the triangle inequality. , 1982, Psychological review.
[48] J E Smith,et al. Recognition models evaluated: A commentary on Keren and Baggen , 1982, Perception & psychophysics.
[49] A. Tversky,et al. Representations of qualitative and quantitative dimensions. , 1982, Journal of experimental psychology. Human perception and performance.
[50] C. Krumhansl,et al. Density versus feature weights as predictors of visual identifications: comment on Appelman and Mayzner. , 1982, Journal of experimental psychology. General.
[51] J T Townsend,et al. Experimental test of contemporary mathematical models of visual letter recognition. , 1982, Journal of experimental psychology. Human perception and performance.
[52] James T. Townsend,et al. An experimental and theoretical investigation of the constant-ratio rule and other models of visual letter confusion , 1982 .
[53] Graham K. Rand,et al. Quantitative Applications in the Social Sciences , 1983 .
[54] James T. Townsend,et al. Mathematical models of recognition and confusion in psychology , 1983 .
[55] R. Nosofsky. American Psychological Association, Inc. Choice, Similarity, and the Context Theory of Classification , 2022 .
[56] D L Medin,et al. Evaluation of exemplar-based generalization and the abstraction of categorical information. , 1984, Journal of experimental psychology. Learning, memory, and cognition.
[57] M. Aldenderfer,et al. Cluster Analysis. Sage University Paper Series On Quantitative Applications in the Social Sciences 07-044 , 1984 .
[58] J T Townsend,et al. Modeling feature perception in brief displays with evidence for positive interdependencies , 1984, Perception & psychophysics.
[59] R. Nosofsky. Overall similarity and the identification of separable-dimension stimuli: A choice model analysis , 1985, Perception & psychophysics.
[60] A. Treisman,et al. Search asymmetry: a diagnostic for preattentive processing of separable features. , 1985, Journal of experimental psychology. General.
[61] R M Nosofsky,et al. Luce’s choice model and Thurstone’s categorical judgment model compared: Kornbrot’s data revisited , 1985, Perception & psychophysics.
[62] N. Perrin,et al. Varieties of perceptual independence. , 1986, Psychological review.
[63] J C Craig,et al. Temporal integration and vibrotactile backward masking. , 1986, Journal of experimental psychology. Human perception and performance.
[64] J. W. Hutchinson,et al. Nearest neighbor analysis of psychological spaces. , 1986 .
[65] R. Nosofsky. Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.
[66] W. Estes. Array models for category learning , 1986, Cognitive Psychology.
[67] R. Shepard,et al. Toward a universal law of generalization for psychological science. , 1987, Science.
[68] Similarity, confusability, and the density hypothesis. , 1987 .
[69] Amos Tversky,et al. On the relation between common and distinctive feature models , 1987 .
[70] J. Corter. Similarity, confusability, and the density hypothesis. , 1987, Journal of experimental psychology. General.
[71] R. Nosofsky. Attention and learning processes in the identification and categorization of integral stimuli. , 1987, Journal of experimental psychology. Learning, memory, and cognition.
[72] Gregory Ashby,et al. Toward a Unified Theory of Similarity and Recognition , 1988 .
[73] William B Estes,et al. Similarity , Frequency , and Category Representations , 1988 .
[74] R. Nosofsky. Further tests of an exemplar-similarity approach to relating identification and categorization , 1989, Perception & psychophysics.
[75] J. Duncan,et al. Visual search and stimulus similarity. , 1989, Psychological review.
[76] J. W. Hutchinson. Netscal: A network scaling algorithm for nonsymmetric proximity data , 1989 .
[77] R. Nosofsky. Relations between exemplar-similarity and likelihood models of classification , 1990 .