Given a set X of “empirical” points, whose coordinates are perturbed by errors, we analyze whether it contains redundant information, that is whether some of its elements could be represented by a single equivalent point. If this is the case, the empirical information associated to X could be described by fewer points, chosen in a suitable way. We present two different methods to reduce the car...

1. M o r e t h a n t e n y e a r s h a v e p a s s e d s i n c e t he R e v e r s e a l p h a b e t i z e d D i c t i o n a r y of t h e H u n g a r i a n L a n g u a g e ( s e e P a p p 1969) w a s p u b l i s h e d a s t h e f i r s t mnajor d o c u m e n t of t he c o m p u t e r p r o c e s s i n g of A M a g y a r N y e l v t ~ r t e l m e z 6 S z 6 t ~ r a ( the E x p l a n a t o r y D i ...

a two-factor experiment with interaction between factors wherein observations follow an inverse gaussian model is considered. analysis of the experiment is approached via an empirical bayes procedure. the conjugate family of prior distributions is considered. bayes and empirical bayes estimators are derived. application of the procedure is illustrated on a data set, which has previously been an...

Formal AI systems traditionally represent knowledge using logical formulas. Sometimes, however, a model-based representation is more compact and enables faster reasoning than the corresponding formula-based representation. The central idea behind our work is to represent a large set of models by a subset of characteristic models. More speci cally, we examine model-based representations of Horn ...