Learning Bayesian Belief Networks from corpora has been applied to the automatic acquisition of verb subcategorization frames for Modern Greek (MG). We are incorporating minimal linguistic resources, i.e morphological tagging and phrase chunking, since a general-purpose syntactic parser for MG is currently unavailable. Comparative experimental results have been evaluated against Naive Bayes cla...

in the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. let be a double sequence of pairwise negatively dependent random variables. if for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). in addition, it also converges to 0 in . the res...

L. L. Jacoby, J. P. Toth, and A. P. Yonelinas (1993) advocated a process-dissociation procedure for estimating the contributions to task performance of consciously controlled (R) versus automatic (A) memory processes. The procedure relies on the strong assumption that memory-guided performance attributable to R is stochastically independent of that attributable to A. Violations of this independ...

This paper investigates the role of the assumption of classconditional independence of object features in human classification learning. This assumption holds that object feature values are statistically independent of each other, given knowledge of the object’s true category. Treating features as classconditionally independent can in many situations substantially facilitate learning and catego...

The Threshold Theory of categorization posits that prior to making a categorization decision a respondent assesses the similarity between item and category and compares it against a personal threshold. Only if the item-category similarity exceeds this threshold should the respondent endorse the item as a category member. The Threshold Theory thus assumes that a single latent variable, item-cate...