We study in this paper the following sequential decision procedure. First, the members of a group show their opinions on all the members, regarding a specific attribute. Taking i...
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
A hierarchical gradient of an unstructured mesh M0 is a sequence of meshes M1;...;Mk such that jMkj is smaller than a given threshold mesh size b. The gradient is well-conditioned...
We investigate power estimation on a random noise from measurements taken by one-bit quantizers, with an efficacy assessed by the Fisher information. In isolated quantizers, an op...